63 results for “capture effect”

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Research ArticleOpen accessIn the abstractCooling Load Prediction in the Under-Actuated Zone with Multilayer Perceptron Artificial Neural NetworkYaddarabullah, Aedah Abd Rahman, Amna SaadThis study focuses on addressing the challenge of predicting cooling loads in under-actuated zones, where the variability in occupant behavior, environmental conditions, and electronic usage creates complex dynamics. Traditional models like Support Vector Regression (SVR) and E-Lastic-Net (ELN) often struggle to capture these non-linear relationships, leading to inefficient Heating, Ventilation, and Air Conditioning (HVAC) management and increased energy consumption. To … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 5,300 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,306 accessesView PDF Cite

Research ArticleOpen accessIn the abstractClassification Model of Traditional Chinese Medicine Prescription Decocting Duration Combining Text Convolutional Neural Network with Attention MechanismZhibiao Li et al.The decocting time of Traditional Chinese Medicine (TCM) formulas is crucial for therapeutic effects. To better capture the important characteristics related to the decocting time of TCM formulas, a formula decocting time classification model TextCNN-attention that integrates the attention mechanism and Text Convolutional Neural Network is proposed. This model predicts the decocting time of formulas and divides them into long-term, … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 26 Sep 2024 · 4,366 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPhishing Website Detection Using Improved Multilayered Convolutional Neural NetworksHadia Bibi, Syed Rehan Shah, Mirza Murad Baig et al.The internet has become an essential part of many fields: Communication, entertainment, commerce, industrial production, agriculture, etc. Unfortunately, online users are vulnerable to various attacks; this could lead to financial damages and loss of personal information. Phishing is seen as an internet threat and a cybercrime where anyone can capture personal information and data by posing as a reliable source. … …Journal of Computer Science, Vol. 20, Issue 9 · 6 Jul 2024 · 6,578 accessesView PDF Cite

Research ArticleOpen accessIn the abstractReconstruction Investigation Model for Database Management SystemsAbdulaziz Saleh AlraddadiThere have been increased levels of cybercrime in the database industry, which has hurt the confidentiality, integrity, and availability of these systems. Most organizations apply several security layers to detect and prevent database crimes. For this reason, Database Forensics (DBF) plays a very important role in capturing and discovering, who the criminal is, when the crime was committed, and which … …Journal of Computer Science, Vol. 20, Issue 1 · 28 Nov 2023 · 5,608 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCardiovascular Diseases Identification Using Wavelet Optimization and Modify Cuckoo Search AlgorithmBanit Negi, Abhilekh Bartwal, Agya Ram Verma et al.The problem the author aims to solve is the extraction of discriminatory features in ECG (Electrocardiogram) signals for classification purposes. The scope of the work is to propose a new method for building wavelets that best reflect the discriminatory capacity of ECG signals. The approach involves optimizing the wavelets specifically for the classification function under consideration. To address the problem, … …Journal of Computer Science, Vol. 19, Issue 8 · 3 Aug 2023 · 5,403 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIntegrated Protection of Tomato Crops against Tuta absoluta in Open Ground Conditions in the South-East Part of KazakhstanA. Adilkhankyzy, K. A. Alpysbayeva, B. Nurmanov et al.There is a need to develop strategies for the protection of tomato crops that would provide high-quality produce safe for the consumer without environmental pollution. The objective of the study is to deploy an integrated system for the protection of open-field tomato crops from Tuta absoluta using biological agents (Bracon hebetor Say., Trichogramma, biopreparations, pheromone traps) and devices in the … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 16 Dec 2022 · 5,375 accessesView PDF Cite

EditorialOpen accessIn the abstractWearable Technology: A New Era of Gadgetry InnovationHaider KhaleelToday, wearable technology comes in a wide variety of forms, from wrist and arm bands to eyewear, footwear and smart textiles. The number of wearable electronic devices available in today’s electronics market including smart watches, activity trackers, helmets and smart clothing seems to grow substantially. In fact, this technology is recognized as one of the hottest trends and one of … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 4 · 18 Apr 2015 · 7,477 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Evaluation of Thermal Imaging Based Respiration Rate Monitoring in ChildrenFarah AL-Khalidi, Reza Saatchi, Heather Elphick, Derek BurkeProblem statement: An important indicator of an individual’s health is respiration rate. It is the average number of times air is inhaled and exhaled per minute. Existing respiration monitoring methods require an instrument to be attached to the patient’s body during the recording. This is a discomfort to the patient and the instrument can be dislodged from its position. Approach: … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 31 Jul 2012 · 10,531 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStroke Motion Learning for a Humanoid Robotic Ping-Pong Player Using a Novel Motion Capture SystemC. H. Lai, T.I. James TsayProblem statement: Human ping-pong players determine the stroke trajectory according to their experience before the ball enters their court. However, to enable a humanoid robot to select the appropriate stroke motion based on skills learned from 3D motion, important patterns must be generated to simplify the complex 3D motion. Approach: This study developed an effective strategy for teaching ping-pong skills … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,382 accessesView PDF Cite