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Research ArticleOpen accessPhrase in the titleA Survey of Protein Fold Recognition AlgorithmsMohammed Said Abual-Rub, Rosni AbdullahProblem statement: Predicting the tertiary structure of proteins from their linear sequence is really a big challenge in biology. This challenge is related to the fact that the traditional computational methods are not powerful enough to search for the correct structure in the huge conformational space. This inadequate capability of the computational methods, however, is a major obstacle in facing … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 6,877 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBiometric Gait Recognition Based on Machine Learning AlgorithmsMohamed SayedIt is crucial to find methods that analyze large amount of data captured by cameras and/or various sensors installed all around us. Machine learning becomes a prevailing tool in analyzing such data that signifies behavioral characteristics of human beings. Gait as an identifier for use in individual recognition systems has respective and almost certainly unique key features for each person … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 8,984 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExperimental Evaluation of Coffee Leaf Disease Classification and Recognition Based on Machine Learning and Deep Learning AlgorithmsKacoutchy Jean Ayikpa et al.Coffee plant diseases constitute a significant danger to world coffee production, and the greatest challenge is to detect these diseases as early as possible to save the crop. Traditional methods are most often based on visual observations, often with errors in diagnosing diseases. Machine Learning has become a tool that presents itself as an alternative for automatically identifying plant diseases. … …Journal of Computer Science, Vol. 18, Issue 12 · 10 Dec 2022 · 6,986 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization of Multi-Layer Perceptron Deep Neural Networks using Genetic Algorithms for Hand Gesture RecognitionKhanh Nguyen-Trong, Thi-Thanh-Tan NguyenApplications of wearable sensors for Hand Gesture Recognition (HGR) have been gaining popularity in recent years. Among the proposed methods, deep neural networks with many hidden layers are promising to address the requirements of this wearable activity recognition. They can directly uncover features tied to the dynamics of HGR, from simple motion encoding in lower layers to more complex motion … …Journal of Computer Science, Vol. 18, Issue 2 · 8 Feb 2022 · 7,180 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutomatic Palmprint Identification based on High Order Zernike MomentR. Gayathri, P. RamamoorthyProblem statement: Hand geometry contains relatively invariant features of an individual. Palmprint recognition is an efficient biometric solution for authentication system. The existence of several hand-based authentication commercial systems indicates the effectiveness of this type of biometric. Approach: We proposed a palmprint verification system using high order Zernike moment that was robust to rotation, translation and occlusion. Zernike moment was … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 12 Mar 2012 · 7,193 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutomatic Personal Identification Using Feature Similarity Index MatchingR. Gayathri, P. RamamoorthyProblem statement: Biometrics based personal identification is as an effective method for automatically recognizing, a person’s identity with high confidence. Palmprint is an essential biometric feature for use in access control and forensic applications. In this study, we present a multi feature extraction, based on edge detection scheme, applying Log Gabor filter to enhance image structures and suppress noise. Approach: … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 2 Mar 2012 · 6,715 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSupport Vector Machine Based Red Palm Weevil (Rynchophorus Ferrugineous, Olivier) Recognition SystemGhulam Mubashar Hassan, Saleh Mufleh Al-SaqerProblem statement: Red palm weevil (Rynchophorus Ferrugineous, Oliveir) is an insect which threatens the existence of palm trees. The proposed research is to develop a RPW identification system using Support Vector Machine method. The problem is to extract image features from an image and using SVM to find out the existence of RPW in an image. Approach: Images are snapped … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 1 · 24 Jan 2012 · 7,734 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMultimodal Face and Ear ImagesA.A. Darwish, R. Abd Elghafar, A. Fawzi AliProblem statement: The study presented in this study to combined face and ear algorithms as an application of human identification. Biometric system to the detection and identification of human faces and ears developed a multimodal biometric system using eigenfaces and eigenears. Approach: The proposed system used the extracted face and ear images to develop the respective feature spaces via the … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sentiment Analysis Approach for Affective State Recognition With SWISH-Activated DenseNet-169 in Human Event ForecastingKarthik Elangovan, Prabhakaran Paulraj, Dinesh Babu G L et al.Detecting human feelings from images is perhaps one of the most useful and challenging social communication problems in research. Emotion detection-based deep computing outperforms classic image processing techniques. Facial recognition technology has permeated every aspect of our daily lives, from unlocking our phones to getting private file access on our systems. Machine Learning and Deep Learning make it easy to … …Journal of Computer Science, Vol. 22, Issue 8 · 29 Jul 2026 · 1,211 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNNSuresh Kumar, M Y. Mohamed ParveesHuman Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote servers or in the cloud have challenges in terms of high latency, increased bandwidth demand, and high energy consumption. Moving the computation to edge-assisted HAR is more effective and flexible solution to address the … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,578 accessesView PDFCite