Pub Date : 2023-08-30DOI: 10.1080/1751696x.2023.2245158
Roger Farnworth, P. Herring, Bryn Tapper, C. Farnworth
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Pub Date : 2022-10-02DOI: 10.1080/1751696x.2022.2225290
M. R. Lami, Mónica Fernández
We are pleased to present a collection of stimulating research papers that delve into various realms of scientific inquiry, shedding new light on captivating subjects. In this issue, we embark on a journey that spans the enigmatic presence of a mushroom cult in the Southern Levant, ancient divination practices, rock art research, and the symbolic significance of prehistoric architecture. These papers demonstrate the diversity and richness of scientific exploration and offer fresh perspectives on usually underexplored topics. Estelle Orrelle opens our exploration with a thought-provoking analysis titled ‘Identifying Iconographic Evidence for a Mushroom Cult in the Preliterate Southern Levant’. Orrelle traces iconographic evidence from late Holocene cultures to the Early Bronze Age in Southern Levant, suggesting the veneration of psychedelic substances and their integration into the iconography of material items. With a focus on rock art found in the Negev and Sinai deserts in Israel, this research highlights the symbiotic relationship between humans, ibex, and the cultivation and collection of mushrooms, offering insights into the intricate beliefs and practices of prehistoric societies. Along the same lines, Giulia Frigerio’s paper titled ‘Apolline Divination: Hallucinogenic Substances or Cognitive Inputs? The Case of the Laurel’ reiterates the fundamental role played by psychoactive drugs in ancient societies but also points the way to an emerging research field. The use of laurel in Apolline divination has long been a subject of scholarly debate regarding the potential influence of hallucinogenic substances on oracles in classical Greece. Through meticulous research, Frigerio challenges the prevailing notion of chemical alterations and instead argues for the cognitive impact of laurel in influencing the Pythia’s mind during divinatory practices. This cognitive approach takes into account the object affordances and the human neural response, ultimately highlighting the profound impact of laurel on divination. The potential of applying cognitive analysis to gain a better understanding of production and consumption of cave art lies at the core of David M. Witelson's contribution titled ‘Performance Theory: A Growing Interest in Rock Art Research.’ Witelson aptly points out the surprising lack of awareness among researchers regarding their colleagues’ work within this sub-discipline. By exploring the intersections between rock TIME AND MIND 2022, VOL. 15, NOS. 3–4, 275–276 https://doi.org/10.1080/1751696X.2022.2225290
我们很高兴为您呈现一系列令人振奋的研究论文,这些论文深入研究了科学探究的各个领域,为迷人的主题提供了新的亮点。在本期中,我们开始了一段跨越黎凡特南部蘑菇邪教神秘存在,古代占卜实践,岩石艺术研究以及史前建筑的象征意义的旅程。这些论文展示了科学探索的多样性和丰富性,并为通常未被探索的主题提供了新的视角。Estelle Orrelle以一篇发人深省的分析开启了我们的探索,题为“在黎凡特南部前文字时代识别蘑菇崇拜的图像证据”。Orrelle追溯了从全新世晚期文化到黎凡特南部青铜时代早期的图像证据,表明对迷幻物质的崇拜及其与物质物品图像的融合。这项研究的重点是在以色列内盖夫和西奈沙漠中发现的岩石艺术,强调了人类、野山羊和蘑菇的种植和采集之间的共生关系,为史前社会复杂的信仰和实践提供了见解。沿着同样的思路,Giulia friigerio的论文题为“梦境占卜:致幻物质还是认知输入?”《月桂之案》重申了精神药物在古代社会中所起的基本作用,但也指出了一个新兴研究领域的方向。在古典希腊,关于迷幻物质对神谕的潜在影响,月桂树在阿波罗占卜中的使用一直是学术辩论的主题。通过细致的研究,弗里吉奥挑战了流行的化学变化概念,相反,他认为月桂树在占卜实践中影响了皮提亚的思想。这种认知方法考虑了物体的可视性和人类的神经反应,最终突出了月桂对占卜的深刻影响。运用认知分析来更好地理解洞穴艺术的生产和消费的潜力是David M. Witelson题为“表演理论:对岩石艺术研究日益增长的兴趣”的贡献的核心。Witelson恰如其分地指出,研究人员对他们的同事在这一分支学科中的工作缺乏认识,这令人惊讶。探索摇滚与心灵的交集2022,VOL. 15, no . 3, no . 4, 275-276 https://doi.org/10.1080/1751696X.2022.2225290
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Pub Date : 2022-10-02DOI: 10.1080/1751696X.2023.2190037
Varol Koç
ABSTRACT The mammoth bone heaps found by a villager in the year 1965 have the potential to be a source of scientific discourse ranging from the intersection of archaeological history and architecture to the fields of anthropology, psychology, and the history of religions. In Central Ukraine, as a result of the archaeological studies, four huts consisting of approximately 150 mammoth bones were found. Those huts were built approximately 15,000 years ago. Such evidence seems to suggest that the skeletons and skins of large mammals were used as shelters during the Ice Age, perhaps as an alternative to cave dwellings. In doing so, the earliest communities may have attempted to create a more permanent, higher, and wider-span shelter with the same materials. Transforming a mammoth corpse into a shelter – temporary or not – is most likely a communal effort that may have not only led to the construction of more permanent structures but also provided an iconic model for the carrier system used in tent-type huts built with available materials.
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Pub Date : 2022-10-02DOI: 10.1080/1751696X.2023.2175618
Giulia Frigerio
ABSTRACT The use of laurel in Apolline divination at Delphi has been a prominent area of interest in academic debates over the possible influence of drugs on prophets. Previous analyses revealed the absence of chemicals in the bay capable of altering the human consciousness. In this paper, I argue that the laurel did nevertheless have the power to influence the Pythia’s mind through its cognitive impact on divinatory practices. The methodology pursues a cognitive approach that considers the object affordances and the human neural response. The paper concludes that, despite the modality being different from the one proposed in the past, the laurel had a strong impact on divination.
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Pub Date : 2022-10-02DOI: 10.1080/1751696X.2023.2185539
D. Witelson
ABSTRACT It is always surprising to find clear examples in archaeology of researchers with common interests working, albeit unintentionally, without any awareness of their colleagues’ allied research. The sub-discipline of rock art research provides a striking example. All rock art practices involve performances of one kind or another. While performance is notionally implicated in rock art studies around the globe, earnest appeals to performance theory are less common. The few studies employing recognisable performance theory to study rock art are largely independent of one another. Consequently, this sub-field has not accumulated insights. It is, nevertheless, a growing interest. This comparative appraisal reviews a selection of performance theory approaches to rock art, drawing attention to their similarities and differences as well as some of the benefits of performance theory. The standard terms, concepts and definitions of performance theory provide a means to coordinate and formalise disparate ideas. Rock art research globally stands to gain from comprehensive, rather than partial, engagements with performance theory.
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Pub Date : 2022-09-26DOI: 10.1080/1751696X.2022.2119096
Estelle Orrelle
ABSTRACT Cultures using mind-altering psychedelic mushrooms in literate periods have been identified in the ancient Near East. key to their recognition in preliterate periods. One may assume that psychedelic substances such as mushrooms were elevated to the status of gods, and their secret identity embedded in the iconography of material items in a variety of media. I trace some of these images from late Holocene cultures until at least the Early Bronze Age, and suggest analogies from known contemporary cultures where the mycological cult was practiced. I note the presence of such a cult in the rock art of the Negev and Sinai deserts in Israel. Most of this art is thought to date within the last 5000 years. I also suggest a symbiotic relationship between man and ibex with the growth and collection of mushrooms linking the two.
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Pub Date : 2022-09-14eCollection Date: 2022-01-01DOI: 10.1080/1751696X.2022.2115312
Mette Løvschal, Joshua Charles Skewes
This brief note points toward new potentials that lie at the interface between research on landscape archaeology and cognitive science. Recent advances in the cognitive and neural sciences have sharpened our understanding of spatial cognition, by providing new explanations for how the brain reduces the dimensionality of complex topography and geography for effective navigation. This research suggests that space is represented in grid-like structures in the brain, and that grid-like forms are a basic ingredient of spatial processing. At the same time, recent archaeological research shows that the organization of larger-scale space into linear forms, and in particular grid-like landscapes, is a relatively recent social invention, which suggests that these forms are historically and culturally contingent. Taken together, this research raises the question of how the dimensionality-reducing function of grid-like processing in the brain is related to higher-level conceptual and imaginative processing of space needed to plan and negotiate large-scale landscape structures. This brief note motivates this question and argues for further exploration of the relationships between biological, cognitive, and cultural processes related to space and its conceptualization between these fields of research.
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Pub Date : 2022-06-29DOI: 10.26760/mindjournal.v7i1.21-36
Jasman Pardede, Hendri Hardiansah
ABSTRAKKereta merupakan sebuah alat transportasi umum yang sering digunakan oleh masyarakat untuk berpergian dari kota asal ke kota tujuan. Mereka membutuhkan akan sarana transportasi umum untuk mempermudah aktifitas mereka. Namun kecelakaan di persimpangan jalan raya yang terlintasi oleh kereta api memiliki angka yang cukup besar akibat kelalaian dari petugas untuk menutup palang pintu kereta api. Maka dari itu penelitian ini dibuat agar mengetahui keberadaan kereta api berdasarkan jarak dan tingkat cahayanya dari siang sampai malam hari. Sistem dibangun menggunakan metode Faster RCNN dengan model arsitektur VGG16 untuk mengetahui keberadaan objek kereta api antara lokomotif dan gerbong berdasarkan tingkat cahaya dan jarak terhadap objek. Setelah dilakukan pengujian dengan jarak paling dekat ±2 meter sampai ±250 meter, diperoleh rata-rata akurasi untuk lokomotif sebesar 79,09%, dan akurasi untuk gerbong sebesar 97,05%. Sistem memperoleh keakurasian deteksi terhadap objek rata-rata akurasi deteksi objek lokomotif sebesar 86,40%, dan rata-rata akurasi deteksi objek gerbong sebesar 97,23%.Kata kunci: Deteksi Objek, Faster RCNN, VGG, Kereta Api, Jarak, LuxABSTRACTRailway is a public transportation that is often used by the public to travel from the home town to the destination city. They need public transportation to facilitate their activities. But accidents at the intersection of the highway crossed by the train has a considerable number due to the negligence of the officer to close the railway stopbars. Therefore, this study was made to know the existence of trains based on their distance and light level from day to night. The system was built using the Faster RCNN method with the VGG16 architectural model to determine the existence of railway objects between locomotives and carriages based on the level of light and distance to the object. After testing with the closest distance of ±2 meters to ±250 meters, obtained an average accuracy for locomotives of 79.09%, and accuracy for carriages of 97.05%. The system obtained accuracy of detection of objects with an average detection accuracy of locomotive objects of 86.40%, and an average detection accuracy of car objects of 97.23%.Keywords: Object Detection, Faster RCNN, VGG, Railway, Distance, Lux
抽象是一种公共交通工具,人们经常用它从一个城镇旅行到另一个城镇。他们需要公共交通工具来放松他们的活动。但是铁路沿线发生的事故,其规模之大,是由于官员疏忽大意,未能堵住铁路的车门。因此,这项研究的目的是根据火车的距离和白天到晚上的照明水平来确定列车的位置。该系统使用最快捷的RCNN技术与VGG16建筑模型相匹配,根据可见光水平和距离了解机车和车厢之间的火车物体的位置。测试完毕后的距离最接近于获得±2米到±250米,平均准确率为79,09%大小,机车和准确度高达97,05%车厢。系统获得了机车物体检测准确率为86.40%,车厢内物体检测准确率为97.23%。关键词:探测对象,更快的RCNN, VGG,火车,距离,luxabstracroad是一种公共交通工具,被公众使用,从家乡旅行到目的地城市。他们需要公共交通以符合他们的动机。但是火车经过高速公路的中间发生了事故,官员关闭了铁路出口,考虑到了有号码。因此,这项研究是为了让人们知道火车从远方一直延伸到夜晚的存在。该系统采用更快的RCNN方法,用VGG16建筑模型来确定在光线和距离之间的铁路存在的目标。之后测试with the closest±2米到±250米的距离,获得的平均为locomotives评比79 . 09%,评比著作百科全书》为0。05%的carriages 97。系统计算了84.40%的目标locomotive勘探结果,以及97.23%的车辆准确检测。目标探测,更快的RCNN, VGG,铁路,远方,Lux
{"title":"Deteksi Objek Kereta Api menggunakan Metode Faster R-CNN dengan Arsitektur VGG 16","authors":"Jasman Pardede, Hendri Hardiansah","doi":"10.26760/mindjournal.v7i1.21-36","DOIUrl":"https://doi.org/10.26760/mindjournal.v7i1.21-36","url":null,"abstract":"ABSTRAKKereta merupakan sebuah alat transportasi umum yang sering digunakan oleh masyarakat untuk berpergian dari kota asal ke kota tujuan. Mereka membutuhkan akan sarana transportasi umum untuk mempermudah aktifitas mereka. Namun kecelakaan di persimpangan jalan raya yang terlintasi oleh kereta api memiliki angka yang cukup besar akibat kelalaian dari petugas untuk menutup palang pintu kereta api. Maka dari itu penelitian ini dibuat agar mengetahui keberadaan kereta api berdasarkan jarak dan tingkat cahayanya dari siang sampai malam hari. Sistem dibangun menggunakan metode Faster RCNN dengan model arsitektur VGG16 untuk mengetahui keberadaan objek kereta api antara lokomotif dan gerbong berdasarkan tingkat cahaya dan jarak terhadap objek. Setelah dilakukan pengujian dengan jarak paling dekat ±2 meter sampai ±250 meter, diperoleh rata-rata akurasi untuk lokomotif sebesar 79,09%, dan akurasi untuk gerbong sebesar 97,05%. Sistem memperoleh keakurasian deteksi terhadap objek rata-rata akurasi deteksi objek lokomotif sebesar 86,40%, dan rata-rata akurasi deteksi objek gerbong sebesar 97,23%.Kata kunci: Deteksi Objek, Faster RCNN, VGG, Kereta Api, Jarak, LuxABSTRACTRailway is a public transportation that is often used by the public to travel from the home town to the destination city. They need public transportation to facilitate their activities. But accidents at the intersection of the highway crossed by the train has a considerable number due to the negligence of the officer to close the railway stopbars. Therefore, this study was made to know the existence of trains based on their distance and light level from day to night. The system was built using the Faster RCNN method with the VGG16 architectural model to determine the existence of railway objects between locomotives and carriages based on the level of light and distance to the object. After testing with the closest distance of ±2 meters to ±250 meters, obtained an average accuracy for locomotives of 79.09%, and accuracy for carriages of 97.05%. The system obtained accuracy of detection of objects with an average detection accuracy of locomotive objects of 86.40%, and an average detection accuracy of car objects of 97.23%.Keywords: Object Detection, Faster RCNN, VGG, Railway, Distance, Lux","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79361504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-29DOI: 10.26760/mindjournal.v7i1.98-110
Jaya Kuncara ROSA SUSILA, Pujo Laksono, Muhammad Afit
ABSTRAKPembiayaan properti berbasis syariah saat ini meningkat seiring dengan kesadaran ummat muslim dalam menjalankan agamanya. Persetujuan pembelian properti syariah lebih diniatkan untuk membantu ummat mendapatkan rumah namun ini menjadi kendala karena ditemukan ada cicilan yang macet setelah beberapa waktu. Perlu dibangun sistem pendukung keputusan yang berfokus pada pendampingan dan rekomendasi skema pembiayaan properti syariah. Parameter masukan sebanyak 12 variabel profil calon pembeli yang diambil dari formulir surat persetujuan pembelian rumah (SPPR), sedangkan targetnya adalah persetujuan pembelian yang diperoleh dari sistem kecerdasan artifisial. Untuk mendapatkan model yang optimal, dilakukan perbandingan 3 model, yaitu logaritmic regression, decision tree, dan random forest. Random forest memiliki tingkat akurasi tertinggi, yaitu 90,831%. Framework Flask digunakan sebagai aplikasi web yang dikonversi menjadi aplikasi bergerak.Kata kunci: kecerdasan artifisial, robo-advisor, sistem pendukung keputusan, random forest, flaskABSTRACTSharia-based property financing is currently increasing along with the awareness of Muslims in practicing their religion. The approval for the purchase of sharia property is intended to help the community get a house, but this is an obstacle because it is found that there are installments that are stuck after some time. It is necessary to build a decision support system that focuses on mentoring and recommending sharia property financing schemes. The input parameters are 12 profile variables of prospective buyers taken from the house purchase approval letter form (SPPR), while the target is purchase approval obtained from an artificial intelligence system. To get the optimal model, a comparison of 3 models was made, namely logarithmic regression, decision tree, and random forest. Random forest has the highest accuracy rate, which is 90.831%. The Flask framework is used as a web application that is converted into a mobile application.Keywords: artificial intelligence, robo-advisor, decision support system, random forest, flask
{"title":"Rancang Bangun Robo-Advisor untuk Pendanaan Rumah Syariah Berbasis Aplikasi Bergerak","authors":"Jaya Kuncara ROSA SUSILA, Pujo Laksono, Muhammad Afit","doi":"10.26760/mindjournal.v7i1.98-110","DOIUrl":"https://doi.org/10.26760/mindjournal.v7i1.98-110","url":null,"abstract":"ABSTRAKPembiayaan properti berbasis syariah saat ini meningkat seiring dengan kesadaran ummat muslim dalam menjalankan agamanya. Persetujuan pembelian properti syariah lebih diniatkan untuk membantu ummat mendapatkan rumah namun ini menjadi kendala karena ditemukan ada cicilan yang macet setelah beberapa waktu. Perlu dibangun sistem pendukung keputusan yang berfokus pada pendampingan dan rekomendasi skema pembiayaan properti syariah. Parameter masukan sebanyak 12 variabel profil calon pembeli yang diambil dari formulir surat persetujuan pembelian rumah (SPPR), sedangkan targetnya adalah persetujuan pembelian yang diperoleh dari sistem kecerdasan artifisial. Untuk mendapatkan model yang optimal, dilakukan perbandingan 3 model, yaitu logaritmic regression, decision tree, dan random forest. Random forest memiliki tingkat akurasi tertinggi, yaitu 90,831%. Framework Flask digunakan sebagai aplikasi web yang dikonversi menjadi aplikasi bergerak.Kata kunci: kecerdasan artifisial, robo-advisor, sistem pendukung keputusan, random forest, flaskABSTRACTSharia-based property financing is currently increasing along with the awareness of Muslims in practicing their religion. The approval for the purchase of sharia property is intended to help the community get a house, but this is an obstacle because it is found that there are installments that are stuck after some time. It is necessary to build a decision support system that focuses on mentoring and recommending sharia property financing schemes. The input parameters are 12 profile variables of prospective buyers taken from the house purchase approval letter form (SPPR), while the target is purchase approval obtained from an artificial intelligence system. To get the optimal model, a comparison of 3 models was made, namely logarithmic regression, decision tree, and random forest. Random forest has the highest accuracy rate, which is 90.831%. The Flask framework is used as a web application that is converted into a mobile application.Keywords: artificial intelligence, robo-advisor, decision support system, random forest, flask","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79264807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-29DOI: 10.26760/mindjournal.v7i1.11-20
Muhammad Adnan Pramudito, Yunendah Nur FU’ADAH, Rita Magdalena, Achmad Rizal, Fauzi Frahma Taliningsih
ABSTRAKPenyakit jantung merupakan salah satu penyebab utama kematian di dunia. Salah satu penyakit jantung yang perlu diperhatikan adalah congestive heart failure (CHF). CHF adalah suatu kondisi di mana jantung tidak mampu memompa darah ke seluruh tubuh. Penyakit ini dapat didiagnosis dengan EKG. Oleh karena itu, pada penelitian ini dibuat sebuah sistem yang dapat mengidentifikasi penyakit CHF secara otomatis menggunakan metode convolutional neural network (CNN) dengan 4 hidden layer dan 16 output channel, fully connected layer, dan aktivasi Softmax. Data yang digunakan dalam penelitian ini diambil dari MITBIH dan BIDMC. Penlitian ini memberikan akurasi 100%, sehingga deteksi penyakit CHF otomatis membantu staf medis mendiagnosis pasien untuk menerima perawatan yang tepat.Kata kunci: Elektrokardiogram (EKG), Convolutional Neural Network (CNN), Normal Sinus Rhythm (NSR), Congestive Heart Failure (CHF)ABSTRACTHeart disease is one of the leading causes of death in the world. One of the heart diseases that need to be considered is congestive heart failure (CHF). CHF is a condition in which the heart is unable to pump blood throughout the body. ECG can diagnose this disease. Therefore, this study created a system that can automatically identify CHF disease using the convolutional neural network (CNN) method with four hidden layers and 16 output channels, a fully connected layer, and Softmax activation. The data used in this study were taken from MIT-BIH and BIDMC. In this study provides 100% accuracy. Automated CHF disease detection helps medical staff diagnose patients to receive appropriate treatment.Keywords: Electrocardiogram (ECG), Convolutional Neural Network (CNN), Normal Sinus Rhythm (NSR), Congestive Heart Failure (CHF)
{"title":"Identifikasi Sinyal Congestive Heart Failure dengan Metode Convolutional Neural Network 1D","authors":"Muhammad Adnan Pramudito, Yunendah Nur FU’ADAH, Rita Magdalena, Achmad Rizal, Fauzi Frahma Taliningsih","doi":"10.26760/mindjournal.v7i1.11-20","DOIUrl":"https://doi.org/10.26760/mindjournal.v7i1.11-20","url":null,"abstract":"ABSTRAKPenyakit jantung merupakan salah satu penyebab utama kematian di dunia. Salah satu penyakit jantung yang perlu diperhatikan adalah congestive heart failure (CHF). CHF adalah suatu kondisi di mana jantung tidak mampu memompa darah ke seluruh tubuh. Penyakit ini dapat didiagnosis dengan EKG. Oleh karena itu, pada penelitian ini dibuat sebuah sistem yang dapat mengidentifikasi penyakit CHF secara otomatis menggunakan metode convolutional neural network (CNN) dengan 4 hidden layer dan 16 output channel, fully connected layer, dan aktivasi Softmax. Data yang digunakan dalam penelitian ini diambil dari MITBIH dan BIDMC. Penlitian ini memberikan akurasi 100%, sehingga deteksi penyakit CHF otomatis membantu staf medis mendiagnosis pasien untuk menerima perawatan yang tepat.Kata kunci: Elektrokardiogram (EKG), Convolutional Neural Network (CNN), Normal Sinus Rhythm (NSR), Congestive Heart Failure (CHF)ABSTRACTHeart disease is one of the leading causes of death in the world. One of the heart diseases that need to be considered is congestive heart failure (CHF). CHF is a condition in which the heart is unable to pump blood throughout the body. ECG can diagnose this disease. Therefore, this study created a system that can automatically identify CHF disease using the convolutional neural network (CNN) method with four hidden layers and 16 output channels, a fully connected layer, and Softmax activation. The data used in this study were taken from MIT-BIH and BIDMC. In this study provides 100% accuracy. Automated CHF disease detection helps medical staff diagnose patients to receive appropriate treatment.Keywords: Electrocardiogram (ECG), Convolutional Neural Network (CNN), Normal Sinus Rhythm (NSR), Congestive Heart Failure (CHF) ","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75652157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}