Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099269
Muhammad Umer, Ayaz Akbar, Saad Dilshad, Umer Javed Kalair, N. Abas
Energy demands and costs are amplified by the escalation of population, the depletion of fossil fuels, economic growth, and the adoption of energy-intensive lifestyles. Hence, the need for eco-friendly solar thermal systems for water and space heating surges, as solar energy exhibits numerous positive environmental impacts. With the help of thermal collectors and solar cells, one can immediately receive heat and power from the sun. Solar water heating systems are among the most popular solar thermal applications. The current investigation executes the solar thermal water heating system analysis for Lahore, Karachi, Multan, and Peshawar, four major Pakistani cities, considering the thermal proficiency of flat plate collector solar water heating system. Various factors are assessed, such as the auxiliary energy source, solar fraction, and the quantity of heat energy supplied by solar collector for heating water. The amount of auxiliary energy required to fulfill the heat energy demand is recorded as maximum in January for Lahore, Multan, and Peshawar but for Karachi, it is maximum in July. It is observed that due to the presence of the Arabian sea, the climatic conditions of Karachi differ from other cities. According to the findings, it is observed that the proposed system is suitable for Lahore, Karachi, Multan, and Peshawar in respective order.
{"title":"Evaluating the Effectiveness of Flat Plate Solar Collector for Water Heating in Pakistan","authors":"Muhammad Umer, Ayaz Akbar, Saad Dilshad, Umer Javed Kalair, N. Abas","doi":"10.1109/iCoMET57998.2023.10099269","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099269","url":null,"abstract":"Energy demands and costs are amplified by the escalation of population, the depletion of fossil fuels, economic growth, and the adoption of energy-intensive lifestyles. Hence, the need for eco-friendly solar thermal systems for water and space heating surges, as solar energy exhibits numerous positive environmental impacts. With the help of thermal collectors and solar cells, one can immediately receive heat and power from the sun. Solar water heating systems are among the most popular solar thermal applications. The current investigation executes the solar thermal water heating system analysis for Lahore, Karachi, Multan, and Peshawar, four major Pakistani cities, considering the thermal proficiency of flat plate collector solar water heating system. Various factors are assessed, such as the auxiliary energy source, solar fraction, and the quantity of heat energy supplied by solar collector for heating water. The amount of auxiliary energy required to fulfill the heat energy demand is recorded as maximum in January for Lahore, Multan, and Peshawar but for Karachi, it is maximum in July. It is observed that due to the presence of the Arabian sea, the climatic conditions of Karachi differ from other cities. According to the findings, it is observed that the proposed system is suitable for Lahore, Karachi, Multan, and Peshawar in respective order.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"62 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114086353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099283
Burhn Sadiq, Tan Zhongfu, Tayyeba Bashir, A. Naseem, Darya Khan
The basic purpose of this study is to explore the different factors adopted to minimize pollution in manufacturing firms in Pakistan. For this purpose, a survey method was applied to collect data from manufacturing firms in Pakistan. A well-structured questionnaire was developed and distributed to different manufacturing firms to get their opinion on pollution emissions. Results of the study show that various factors used in this study, i.e., effectiveness, quality management system, market scope, and recycling, are very much crucial for pollution emission. This study is helpful for managing manufacturing firms to minimize pollution and comply with government policies.
{"title":"The Influential factors for Pollution Emissions in manufacturing business","authors":"Burhn Sadiq, Tan Zhongfu, Tayyeba Bashir, A. Naseem, Darya Khan","doi":"10.1109/iCoMET57998.2023.10099283","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099283","url":null,"abstract":"The basic purpose of this study is to explore the different factors adopted to minimize pollution in manufacturing firms in Pakistan. For this purpose, a survey method was applied to collect data from manufacturing firms in Pakistan. A well-structured questionnaire was developed and distributed to different manufacturing firms to get their opinion on pollution emissions. Results of the study show that various factors used in this study, i.e., effectiveness, quality management system, market scope, and recycling, are very much crucial for pollution emission. This study is helpful for managing manufacturing firms to minimize pollution and comply with government policies.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114585785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099260
Gul Zaman Khan, Ibrar Ali Shah, Farhatullah, Muhammad Abul Hassan, Hazrat Junaid, Fouzia Sardar
Malaria is an infectious disease spread by mosquitoes that effect humans and other animals. It is a massive threat to humanity, with instances growing each year. It is essential to prevent and diagnose malaria immediately and efficiently. For the time being, conventional methods are used for diagnosing malaria in which the patient's blood sample is examined by microscope or by using malaria RTD kits. This approach has several limitations because it requires medical expertise, is expensive, takes a long time, and the results are unsatisfactory. Artificial intelligence-based systems can prevent and help in diagnose of this infectious disease. Because of these limitations, the proposed work has proposed an AI-based diagnosis system that can detect malaria parasites immediately and efficiently. In the proposed experiment, we have applied four different pre-trained deep learning models on the image dataset with some preprocessing and optimization techniques for malaria parasite detection. After investigations, evaluation matrices such as precision, Recall, F1-score, sensitivity, and specificity are used to measure the performance of the proposed models. The Inception-Resnet outperformed by achieving 95% accuracy, VGG16 achieved 92% accuracy, inception achieved 93% accuracy, and VGG19 achieved 91% accuracy. The positive outcomes of this study show that this approach performs much better than the approaches currently used. Furthermore, the proposed method is relevant to health experts for screening purposes.
{"title":"Intelligent Systems for Early Malaria Disease Detection in Patient Cells Using Transfer Learning Approaches","authors":"Gul Zaman Khan, Ibrar Ali Shah, Farhatullah, Muhammad Abul Hassan, Hazrat Junaid, Fouzia Sardar","doi":"10.1109/iCoMET57998.2023.10099260","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099260","url":null,"abstract":"Malaria is an infectious disease spread by mosquitoes that effect humans and other animals. It is a massive threat to humanity, with instances growing each year. It is essential to prevent and diagnose malaria immediately and efficiently. For the time being, conventional methods are used for diagnosing malaria in which the patient's blood sample is examined by microscope or by using malaria RTD kits. This approach has several limitations because it requires medical expertise, is expensive, takes a long time, and the results are unsatisfactory. Artificial intelligence-based systems can prevent and help in diagnose of this infectious disease. Because of these limitations, the proposed work has proposed an AI-based diagnosis system that can detect malaria parasites immediately and efficiently. In the proposed experiment, we have applied four different pre-trained deep learning models on the image dataset with some preprocessing and optimization techniques for malaria parasite detection. After investigations, evaluation matrices such as precision, Recall, F1-score, sensitivity, and specificity are used to measure the performance of the proposed models. The Inception-Resnet outperformed by achieving 95% accuracy, VGG16 achieved 92% accuracy, inception achieved 93% accuracy, and VGG19 achieved 91% accuracy. The positive outcomes of this study show that this approach performs much better than the approaches currently used. Furthermore, the proposed method is relevant to health experts for screening purposes.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115470131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099188
Tayyeba Bashir, Tan Zhongfu, Burhn Sadiq, A. Naseem, Bushra Jawed
In the present world, environmental concerns are increasing with time. The primary source of air pollution is manufacturing industries. The purpose of this study is to investigate the implications of energy management practices to reduce carbon emissions. Data were collected from manufacturing firms with the help of a structured questionnaire. Results of the study show that energy management practices significantly impact reducing carbon emissions. The findings of this study will help the managers and higher authorities of manufacturing firms to implement energy management practices so that they may inline their environmental policies with the government agencies.
{"title":"Implications of Energy Management Practices to Reduce Carbon Emissions in Pakistani Manufacturing Industries","authors":"Tayyeba Bashir, Tan Zhongfu, Burhn Sadiq, A. Naseem, Bushra Jawed","doi":"10.1109/iCoMET57998.2023.10099188","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099188","url":null,"abstract":"In the present world, environmental concerns are increasing with time. The primary source of air pollution is manufacturing industries. The purpose of this study is to investigate the implications of energy management practices to reduce carbon emissions. Data were collected from manufacturing firms with the help of a structured questionnaire. Results of the study show that energy management practices significantly impact reducing carbon emissions. The findings of this study will help the managers and higher authorities of manufacturing firms to implement energy management practices so that they may inline their environmental policies with the government agencies.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099374
Nauman Ali Larik, Muneer Ahmed, L. L. Zhang, Jawed Ahmed Jamali, Q.H. Wu
Distributed generation (DG) is being integrated into power systems worldwide to reduce fossil fuel consumption and avoid the expense of transmission lines. In addition to the aforementioned benefits, it also poses issues for protection co-ordination, power quality, and the establishment of an islanding condition that must be resolved for proper operation and seamless transition of mictrogrid in islanding mode to perserve reliability. Islanding is an unwanted state that can pose safety risks to utility workers, power system equipments, and customer devices. In this paper, severe consequences of unintentional islanding are discussed and a ROCOF based method for islanding detection for multiple energy resources based system is proposed. Simulation results considering different normal and islanding cases are exhibited, which proves fast detection with effectiveness and accuracy of the proposed method.
{"title":"A New Method of Unintentional Islanding detection for Multiple Distributed energy resources based Power System","authors":"Nauman Ali Larik, Muneer Ahmed, L. L. Zhang, Jawed Ahmed Jamali, Q.H. Wu","doi":"10.1109/iCoMET57998.2023.10099374","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099374","url":null,"abstract":"Distributed generation (DG) is being integrated into power systems worldwide to reduce fossil fuel consumption and avoid the expense of transmission lines. In addition to the aforementioned benefits, it also poses issues for protection co-ordination, power quality, and the establishment of an islanding condition that must be resolved for proper operation and seamless transition of mictrogrid in islanding mode to perserve reliability. Islanding is an unwanted state that can pose safety risks to utility workers, power system equipments, and customer devices. In this paper, severe consequences of unintentional islanding are discussed and a ROCOF based method for islanding detection for multiple energy resources based system is proposed. Simulation results considering different normal and islanding cases are exhibited, which proves fast detection with effectiveness and accuracy of the proposed method.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129522732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099090
K. Jamil, Liu Dunnnan, Aliya Anwar, Rana Faizan Gul, Sohaib Mustafa, Dua Zehra Alvi
This study mainly focuses on consumer motivations through social networking sites (SNS) during the purchasing decision. A survey method was applied, and a structured questionnaire collected data from online buyers. The study results explain that consumers feel more motivated when they use SNS when they decide on purchasing. This will be useful for the retailers on SNS to establish their policies to motivate more consumers to attract them to their online pages. This will enhance their sales and the number of consumers.
{"title":"Implications of Social Networking Sites for Consumer Motivations","authors":"K. Jamil, Liu Dunnnan, Aliya Anwar, Rana Faizan Gul, Sohaib Mustafa, Dua Zehra Alvi","doi":"10.1109/iCoMET57998.2023.10099090","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099090","url":null,"abstract":"This study mainly focuses on consumer motivations through social networking sites (SNS) during the purchasing decision. A survey method was applied, and a structured questionnaire collected data from online buyers. The study results explain that consumers feel more motivated when they use SNS when they decide on purchasing. This will be useful for the retailers on SNS to establish their policies to motivate more consumers to attract them to their online pages. This will enhance their sales and the number of consumers.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124135551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099173
Abdul Samim, Narjis, Abdul Rafay Khatri
In this investigation, convex lenses are used to study the performance and heat transfer analysis of solar grounded water heating systems. The employment of convex lenses, which concentrate solar radiation on the water layers at a single spot, is favored when using diffusible radiation. The tank benefits from receiving sun radiation. The water is possible to absorb high heat from the lens arrays attributable to lenses that are attached over the top and fasten radiations that prompt to the working fluid. In this instance, lenses are used to investigate the properties of heat. This endeavor demonstrates the exploration of the potential usage of a convex lens for a solar-powered water heating system. The objective of this exploratory research is to develop a water heating system using convex lenses that is completely dependent on solar radiation in order to save the electricity, gas, and reactive energy that are utilized by geysers and for other common living uses. When employing diffusible radiation, it is preferred to use convex lenses since they focus solar energy on the water layers at a particular location.
{"title":"Automatic Solar Based Water Heating System Through Convex Lenses","authors":"Abdul Samim, Narjis, Abdul Rafay Khatri","doi":"10.1109/iCoMET57998.2023.10099173","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099173","url":null,"abstract":"In this investigation, convex lenses are used to study the performance and heat transfer analysis of solar grounded water heating systems. The employment of convex lenses, which concentrate solar radiation on the water layers at a single spot, is favored when using diffusible radiation. The tank benefits from receiving sun radiation. The water is possible to absorb high heat from the lens arrays attributable to lenses that are attached over the top and fasten radiations that prompt to the working fluid. In this instance, lenses are used to investigate the properties of heat. This endeavor demonstrates the exploration of the potential usage of a convex lens for a solar-powered water heating system. The objective of this exploratory research is to develop a water heating system using convex lenses that is completely dependent on solar radiation in order to save the electricity, gas, and reactive energy that are utilized by geysers and for other common living uses. When employing diffusible radiation, it is preferred to use convex lenses since they focus solar energy on the water layers at a particular location.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130695774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099299
U. Ibrahim, Iftikhar Ahmed, Naveed Ahmed, Abdul Rehman Abbasi, E. Mustafa, Hafeez Ullah
The degradation behavior of SiR-insulated cable samples under accelerated thermal stress has been investigated in this research work. The cable samples were taken from NPP-based I&C cable and were exposed to 155°C for three aging cycles. The variation in the insulation was evaluated by applying dielectric spectroscopy in the frequency range of 1kHz to 5 MHz where the capacitance and tanδ were investigated. Microhardness was also adapted to help elucidate the degradation in the insulation. The effect of thermal aging was observed in the form of a chemical cross-linking reaction as at most of the frequency points the tanδ and capacitance values decreased. The microhardness results also reflected the degradation of the SiR material, where the hardness of the material decreased with aging.
{"title":"Degradation of Silicon Rubber-based Nuclear Power Plant I&C Cable under Accelerated Thermal Aging","authors":"U. Ibrahim, Iftikhar Ahmed, Naveed Ahmed, Abdul Rehman Abbasi, E. Mustafa, Hafeez Ullah","doi":"10.1109/iCoMET57998.2023.10099299","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099299","url":null,"abstract":"The degradation behavior of SiR-insulated cable samples under accelerated thermal stress has been investigated in this research work. The cable samples were taken from NPP-based I&C cable and were exposed to 155°C for three aging cycles. The variation in the insulation was evaluated by applying dielectric spectroscopy in the frequency range of 1kHz to 5 MHz where the capacitance and tanδ were investigated. Microhardness was also adapted to help elucidate the degradation in the insulation. The effect of thermal aging was observed in the form of a chemical cross-linking reaction as at most of the frequency points the tanδ and capacitance values decreased. The microhardness results also reflected the degradation of the SiR material, where the hardness of the material decreased with aging.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132242782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099227
Muhammad Ikram, Salman Ahmed, Safdar Nawaz Khan Marwat
The emerging trend of distributed and renewable energy sources encourages energy trading in the electricity market. Various forms of energy markets are evolving for successful energy trading. The local energy market is one of them in which various participants are actively coordinating for optimal utilization of power. Such type of local energy markets provides individual prosumers to trade their surplus energy in the neighbourhood in peer-to-peer topology. The complexity of such type of local energy market is increasing in terms of structure, control, coordination, and cost estimation. For the cooperative behaviour of the local energy markets, a dual auction coordination control scheme is important to encourage more prosumers for energy trading. We proposed a novel scheme that performs dual auctions for prosumers in a decentralized fashion. We assessed dual auction matching by coordinating prosumers and consumers to sell and purchase energy in the local energy market. The aggregator performed balancing in the proposed dual auction scheme as an autonomous entity. The results were simulated in MATLAB and JADE for the complex prosumer peer-to-peer network. Our proposed scheme shows each peer dual auction matching improves from 0.95 to 2.03 for optimal hierarchal energy trading in energy markets. For peer participation, the participation ratio increased from 0.684 to 1.74 and optimal aggregator coordination from 9.18% to 19% in the local energy markets.
{"title":"Dual Auction Peer-to-Peer Control Scheme for Empowering Prosumers Participation in the Local Energy Markets","authors":"Muhammad Ikram, Salman Ahmed, Safdar Nawaz Khan Marwat","doi":"10.1109/iCoMET57998.2023.10099227","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099227","url":null,"abstract":"The emerging trend of distributed and renewable energy sources encourages energy trading in the electricity market. Various forms of energy markets are evolving for successful energy trading. The local energy market is one of them in which various participants are actively coordinating for optimal utilization of power. Such type of local energy markets provides individual prosumers to trade their surplus energy in the neighbourhood in peer-to-peer topology. The complexity of such type of local energy market is increasing in terms of structure, control, coordination, and cost estimation. For the cooperative behaviour of the local energy markets, a dual auction coordination control scheme is important to encourage more prosumers for energy trading. We proposed a novel scheme that performs dual auctions for prosumers in a decentralized fashion. We assessed dual auction matching by coordinating prosumers and consumers to sell and purchase energy in the local energy market. The aggregator performed balancing in the proposed dual auction scheme as an autonomous entity. The results were simulated in MATLAB and JADE for the complex prosumer peer-to-peer network. Our proposed scheme shows each peer dual auction matching improves from 0.95 to 2.03 for optimal hierarchal energy trading in energy markets. For peer participation, the participation ratio increased from 0.684 to 1.74 and optimal aggregator coordination from 9.18% to 19% in the local energy markets.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128980788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-17DOI: 10.1109/iCoMET57998.2023.10099160
Muhammad Aaqib, Musawir Ghani, Ayaz Khan
Certain estimates place skin cancer as the most lethal form of the disease worldwide. Spreading to other parts of the body and requiring invasive procedures like chemotherapy and radiation therapy are the results of delayed diagnosis. As a result, automatic methods have greatly aided medical professionals and allowed even non-specialists to identify the sort of cancer a patient has. In this paper, we present a deep learning-based skin cancer identification to classify images of skin lesions as malignant or benign. This method may be used for any potentially malignant lesion. We found that using a deep learning (DL) approach that relied on a mask region-based convolutional neural network yielded the fastest and most accurate results for diagnosing skin cancer.
{"title":"Deep Learning-Based Identification of Skin Cancer on Any Suspicious Lesion","authors":"Muhammad Aaqib, Musawir Ghani, Ayaz Khan","doi":"10.1109/iCoMET57998.2023.10099160","DOIUrl":"https://doi.org/10.1109/iCoMET57998.2023.10099160","url":null,"abstract":"Certain estimates place skin cancer as the most lethal form of the disease worldwide. Spreading to other parts of the body and requiring invasive procedures like chemotherapy and radiation therapy are the results of delayed diagnosis. As a result, automatic methods have greatly aided medical professionals and allowed even non-specialists to identify the sort of cancer a patient has. In this paper, we present a deep learning-based skin cancer identification to classify images of skin lesions as malignant or benign. This method may be used for any potentially malignant lesion. We found that using a deep learning (DL) approach that relied on a mask region-based convolutional neural network yielded the fastest and most accurate results for diagnosing skin cancer.","PeriodicalId":369792,"journal":{"name":"2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115853560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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