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International Journal of Forensic Engineering最新文献

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Enhancement of classification techniques using principal component analysis and class imbalance handling methods in credit card defaulter detection 在信用卡违约者检测中使用主成分分析和类不平衡处理方法增强分类技术
Pub Date : 1900-01-01 DOI: 10.1504/ijfe.2021.10040640
Abhishek Agarwal, A. Rana, N. Verma, Karan Gupta
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引用次数: 1
Multi-disciplinary approach to a use-of-force investigation: case study 使用武力调查的多学科方法:案例研究
Pub Date : 1900-01-01 DOI: 10.1504/ijfe.2022.10052944
G. Desmoulin, Marc-André Nolette, David M. Blake
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引用次数: 0
Puncturing a castle defence: injury biomechanics solution to a homicide investigation case study 刺穿城堡防御:伤害生物力学解决凶杀调查案例研究
Pub Date : 1900-01-01 DOI: 10.1504/ijfe.2022.10052945
K. Bird, Marc-André Nolette, G. Desmoulin
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引用次数: 0
Intrusion detection in forensics based on machine learning techniques: a review 基于机器学习技术的取证中的入侵检测:综述
Pub Date : 1900-01-01 DOI: 10.1504/ijfe.2021.10042593
K. Tee, Fathollah Bistouni, M. Jahanshahi
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引用次数: 0
Digital innovation: changing the face of business 数字创新:改变商业面貌
Pub Date : 1900-01-01 DOI: 10.1504/IJFE.2020.10037791
Hayri Uygun, Rashmi Gujrati
Digital era has changed the scenario of the world market, in our lives digitalisation is in every field. Today in network is working in business education, social network, market place, supply chain, company website and accounting etc. Through digital technology, work has become perfect and quicker. With the use of technology every year continuously digital market has rise frequently day by day. As like Amazon, Flipcart, Myntra, Jaboong, Alibaba online marketing has increased. Social networking has also enlarged very quickly: Instagram, Facebook, Twitter, Pinterest, LinkedIn and YouTube. In this paper we are going to discuss how digitalisation has grabbed the market and change the routine lives. What are the advantages in the business and how it has become important for companies to become digitalisation?
数字时代已经改变了世界市场的格局,在我们的生活中,数字化无处不在。今天的网络是在商业教育,社会网络,市场,供应链,公司网站和会计等工作。通过数字技术,工作变得更加完美和快捷。随着技术的不断应用,数字市场逐年频繁崛起。就像亚马逊、Flipcart、Myntra、Jaboong一样,阿里巴巴的在线营销也在增加。社交网络也在迅速扩张:Instagram、Facebook、Twitter、Pinterest、LinkedIn和YouTube。在本文中,我们将讨论数字化如何抢占市场并改变日常生活。业务的优势是什么?对公司来说,数字化如何变得重要?
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引用次数: 2
The ecosphere of online service delivery and its growing presence in automobile sector: an extended study of connected technology in Indian outlook 在线服务交付的生态圈及其在汽车行业日益增长的存在:印度前景中互联技术的扩展研究
Pub Date : 1900-01-01 DOI: 10.1504/ijfe.2021.10040451
P. K. Srivastava, S. K. Srivastava, Pushpendu Rakshit, Yogender Kumar, Vishal Kumar
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引用次数: 0
Tone detection for Indian classical polyphonic instrumental audio using DNN model 基于深度神经网络模型的印度古典复调乐器音频音调检测
Pub Date : 1900-01-01 DOI: 10.1504/IJFE.2020.10037779
Ashwini, A. Krishna, V. Mahesh, G. K. Karrthik
Identification of tone from a polyphonic audio is quite a challenging task in digital audio processing. When the audio clip is a classical instrumental track the process is even more cumbersome. This paper proposes a novel approach to detect the tone of polyphonic Indian classical instrumental audio using scaled exponential linear unit (SeLu) activated Deep Neural Network (DNN) along with instrument identification which also uses SeLu activated DNN Model. This aims at utilising the same key features which help in instrument detection in real-life situations. The number of features were also reduced from 34 to 26 in comparison with the earlier work by analysing and identifying the redundant features and adding a few more important characteristic features. The proposed Instrument identification model predicts instruments with an accuracy of 84.39% for Carnatic classical and 83.59% for Hindustani classical. The SeLu activated DNN model for tone detection has attained an accuracy of 88.30%.
在数字音频处理中,从复调音频中识别音调是一项非常具有挑战性的任务。当音频剪辑是古典器乐音轨时,这个过程就更加麻烦了。本文提出了一种利用缩放指数线性单元(SeLu)激活的深度神经网络(DNN)以及同样使用SeLu激活的深度神经网络模型进行乐器识别的新方法来检测多声部印度古典乐器音频的音调。这样做的目的是利用相同的关键功能,有助于在现实生活中的仪器检测。通过分析和识别冗余特征,并增加一些更重要的特征,与之前的工作相比,特征数量也从34个减少到26个。所建立的仪器识别模型预测卡纳蒂克古典乐器的准确率为84.39%,印度斯坦古典乐器的准确率为83.59%。SeLu激活的DNN模型用于音调检测的准确率达到了88.30%。
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引用次数: 1
A comparative analysis of SIFT, SURF and ORB on sketch and paint based images SIFT、SURF和ORB在素描和绘画图像上的比较分析
Pub Date : 1900-01-01 DOI: 10.1504/IJFE.2021.10036812
R. Radha, M. Pushpa
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引用次数: 3
A study of consumer buying behaviour towards E-pharmacies in Delhi NCR 消费者对德里NCR电子药店购买行为的研究
Pub Date : 1900-01-01 DOI: 10.1504/IJFE.2020.10037772
S. Agarwal, Garima Bhardwaj
Background: Though E-Commerce is not a new concept to the world and even not to Indian markets but still buying and selling of medicines online is a new concept in Indian pharmaceutical business segment. Now a day's E-Pharmacy is receiving great consideration from the Indian investors and the government. There are various benefits which online pharmacies are offering to the customers like better price, ease of order, availability of brands, ease to compare etc. but there are also many issues related with online purchase of medicines including reliability, payment and security issues, chances of getting wrong order, non availability of prescribed medicines, problem in return of medicines, sale of substandard merchandise etc. Globally very less study is done on E-Pharmacy and especially in India there is very few studies on customer buying behaviour for online pharmacy. This study was done to find out customer perception towards online pharmacies and also access their satisfaction level on various benefits associated with E-Pharmacy and also to access their satisfaction level on various issues associated with E-Pharmacy.
背景:虽然电子商务对世界来说不是一个新概念,甚至对印度市场来说也不是,但在线购买和销售药品在印度制药业务领域仍然是一个新概念。现在,印度投资者和政府对一天的电子药房给予了极大的关注。网上药店为顾客提供了各种各样的好处,比如更好的价格,易于订购,品牌的可用性,易于比较等,但也有许多与网上购买药品相关的问题,包括可靠性,支付和安全问题,订单错误的机会,处方药不可用,药品退货问题,销售不合格商品等。在全球范围内,关于电子药房的研究很少,特别是在印度,关于在线药房客户购买行为的研究很少。本研究旨在了解顾客对网上药房的看法,并了解他们对网上药房的各种福利的满意程度,以及他们对网上药房各种问题的满意程度。
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引用次数: 0
期刊
International Journal of Forensic Engineering
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