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Review ArticleOpen accessIn the abstractA Proposed an Enhanced Authentication and Dual Encryption Algorithm: Secured Video Transmission in Surgical Tele-TrainingAnil Wagle, Abeer Alsadoon, P.W.C. Prasad et al.Implementation of tele-training for trainee surgeons has been slow to date as current standards of video transmission do not meet requirements for security, speed and clarity for such videos. The aim of this paper is to increase security by providing enhanced authentication as well as improving the overall throughput of the system. The proposed solution consists of a dual encryption … …American Journal of Applied Sciences, Vol. 15, Issue 10 · 28 Dec 2018 · 7,778 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing and Automating Customer Service Queries on Twitter Using Robotic Process AutomationT. N. Ram Kumar, Ganeshayya Shidaganti, Prarthana Anand et al.Several product companies have turned to social media to analyze customer satisfaction and provide customer service to disgruntled customers. Product twitter handles are flooded with tweets every day. Customer service professionals struggle to find and resolve complaints from numerous tweets, which results in high wait times for a response, huge costs for the company, and frustrated customers. Automating customer services … …Journal of Computer Science, Vol. 19, Issue 4 · 24 Mar 2023 · 6,667 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Conceptual Framework for Efficient and Sustainable Pruning Techniques in Deep Learning ModelsNyalalani Smarts, Rajalakshm Selvaraj, Venumadhav KuthadiThis research paper proposes a conceptual framework and optimization algorithm for pruning techniques in deep learning models, its focus is on key challenges such as model size, computational efficiency, inference speed and sustainable technology development. The aim of the framework is to transition from large neural networks to sparse, efficient models, indicating the benefits of pruning in improving model scalability … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,276 accessesView PDFCite
Research ArticleOpen accessIn the abstractCloud Based Low Cost Retinal Detachment Screening Method Using Data Mining TechniquesMahmoud A. Fakhreldin, Ahmed F. SeddikThe Electro-Oculogram (EOG) signal can be used for detecting the normality of the eye retina. A number of advantages including the flexibility of the recoding process for EOG signals have encouraged insight into EOG based research. This study proposes a new cloud based retinal detachment screening technique based on data mining techniques to diagnose the type of eye retina. The … …Journal of Computer Science, Vol. 13, Issue 11 · 5 Oct 2017 · 6,833 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Classification Model using CNN for Detection of Alzheimer’s DiseaseRagavamsi Davuluri, Ragupathy RengaswamyAlzheimer’s Disease (AD) is commonly called a neurodegenerative disorder and it is a common form of dementia. There is no permanent cure for this brain disease hence the early diagnosis of such disease using medical imaging system is highly significant. Machine learning models play a vital role in the detection of AD. Since most of the conventional machine learning models … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 6,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing N-linked Glycosylation Site Prediction in Human Proteins with Ensemble Stacking and Cross-ValidationMubina Malik, Jaimin UndaviaThe most frequent post-translational modification of proteins in all territories is glycosylation which impacts many biological activities. The most significant and critical of these modifications is N-linked glycosylation which is associated with various human diseases including diabetes cancer Inflammation Alzheimers and atherosclerosis. This article illustrates recent advances in knowledge of biology that are eventually targeting the computer science sector. Moreover-identification … …Journal of Computer Science, Vol. 20, Issue 12 · 20 Nov 2024 · 5,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractCapsule Defect Detection and Classification Using Enhanced MobileNet ModelWenqing Bian, Yongzhi Huang, Baolian Shan, Yanting ChangThe quality of capsules has a direct impact on human health. However, defects inevitably arise during the capsule manufacturing process, and manual sorting is required. Most studies on capsule defects focus on detecting surface imperfections and those on internal capsule defects remain relatively limited. This study classifies four types of capsules using the deep learning model MobileNet, aiming to accurately … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 5 Nov 2024 · 5,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuicide Ideation and Risk Detection from Social Media Using GPT ModelsSara Lasri, El Habib Nfaoui, Karima MrizikAs a reason for the sensitiveness of suicide ideation and its considerable impact on people's lives, the demand to treat and prevent the suicide ideation issue has become an obligation. Suicide ideation is a result of a combination of psychological pain and hopelessness. According to the World Health Organization, the task of reducing the global suicide mortality rate is a … …Journal of Computer Science, Vol. 20, Issue 10 · 26 Aug 2024 · 5,708 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeling for Multi-Label Text Classification Supported by Classification AlgorithmsBeatriz Wilges, Gustavo Mateus, Silvia Nassar et al.The ever-increasing amount of information on the Web is organized in structured, semi-structured and unstructured data. Text classification systems, capable of handling such different structures, may facilitate the work of important tasks such as indexation and information retrieval in search engines. The objective of this research is to develop a method for the classification of documents into multiple categories with … …Journal of Computer Science, Vol. 12, Issue 7 · 22 Aug 2016 · 7,221 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurophysiological Mechanisms of Rapidity Quality Development in Female Students Going in for Basketball and Volleyball at Sports ClubsAngelina Shakhanova, Aida Cheuzheva, Ekaterina Kalnaya, Tatiana PetrovaUsing the “NS-Pshykho Test” certified software package (Ivanovo, Russia), we studied the measurements of Simple Hand-Eye Response time (SHER), tapping test frequency, time of Reaction To Moving Object (RMO), Critical Flicker Fusion Frequency (CFFF) in female students going and not going in for sports (volleyball, basketball) at sports clubs. The basis of neuromotor state is formed by variants of classical … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 17 May 2016 · 7,608 accessesView PDFCite