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Research ArticleOpen accessEvery word in the titleNovel Depression Classification Framework Using Optimal Feature Integration with Hybrid Convolution (1D/3D) Based Adaptive Residual DenseNetB. Manjulatha, Suresh PabbojuThis study introduces a novel depression classification method by incorporating multimodal data to reduce this limitation and improve the accuracy of depression diagnosis. In the beginning, the multimodal data such as speech signal, Electroencephalographic (EEG), and text data is obtained from the benchmark datasets. These acquired text data are subjected to the text pre-processing phase, where the stemming, character removal, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 5,860 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleOptimization Consumption Power in Internet of Things Technology: A Systematic ReviewNur Yasmin Salleh, Mohd Kamir Yusof, Nur Farraliza MansorThis study reviews algorithms for battery optimization, focusing on estimation methods and State of Charge (SOC) algorithms, which are crucial components of Battery Management Systems (BMS) designed to reduce power consumption. With the increasing global demand for electricity driven by rapid population growth, optimizing energy use has become critical. Accurate estimation of battery capacity is essential for extending battery lifespan … …Journal of Computer Science, Vol. 21, Issue 3 · 13 Feb 2025 · 7,316 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleAn Overview of the Application of Neural Networks in Orbit OptimizationPratiksha Devshali Bhavsar, Deepti PalThe idea of neural networks has emerged in recent times and has shown great results in complex and nonlinear systems. Many aerospace engineering areas like autonomous systems, adaptive control, and flight dynamics modeling can be better handled with neural networks. Selecting an orbit that consumes the fewest resources and reduces expenditure can broadly be called orbit optimization. In this study, … …Journal of Computer Science, Vol. 21, Issue 3 · 6 Feb 2025 · 4,764 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultivalent Optimizer-Based Hybrid Genetic Algorithm for Task Scheduling in Cloud ApplicationsMeena Malik, Bhavna Gupta, Chander Prabha et al.Cloud computing platforms provide on-demand online services without the need for direct user management. Generally, big clouds distribute functions over multiple data centers at distant locations. The major facilities offered by clouds are based upon virtual machines which provide benefits in terms of low scheduling cost, improved accessibility and availability of cloud services. While transferring the tasks for effective scheduling, … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,900 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Optimized Machine Learning Approach for Early Prediction of Heart Disease Using Bio-Inspired AlgorithmsIndira Priyadarsini, I.S. Siva Rao, P. Swetha et al.This study presents a novel approach for early prediction of heart disease using bio-inspired optimization algorithms to select and optimize features. The proposed approach utilizes a Genetic Algorithm (GA), Bat Algorithm (BA), Bee Algorithm (BA), and Ant Colony Optimization (ACO) to optimize a set of four features for improved prediction accuracy. The optimization process aims to identify the most relevant … …Journal of Computer Science, Vol. 21, Issue 1 · 4 Dec 2024 · 5,227 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleOptimization of Red Sorghum (Sorghum bicolor (L.) Moench) Malt Mashing Using Response Surface MethodologyArthur Kapepa Amisi et al.The Response Surface Methodology (RSM) was used to optimize the Released Glucose Equivalent during red sorghum malt mashing. Three parameters were tested: the β-amylase (EC 3.2.1.2) temperature level (min value = 62°C and max value = 63°C, TB), the α-amylase (EC 3.2.1.1) temperature level (min value = 72.5 and max value = 77.5°C, TA) and the duration of each stage … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 28 Nov 2024 · 8,092 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimum Fertilization Technology to Improve Crop Productivity of Stevia (Stevia rebaudiana Bertoni)Mohammad Cholid, Sesanti Basuki, Budi Hariyono et al.Stevia leaves have the potential to be developed as a natural sweetener, a companion to cane sugar, especially for those who need low-calorie intake. Increasing the productivity of stevia plants is approached by increasing plant biomass accumulation through balanced nitrogen fertilization. This research aims to obtain optimal nitrogen fertilization in the cultivation of stevia plants in which the nitrogen derived … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 22 Nov 2024 · 5,111 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleEconomic Theory and Machine Learning Integration in Asset Pricing and Portfolio Optimization: A Bibliometric Analysis and Conceptual FrameworkPatrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik FaturohmanThe integration of Machine Learning (ML) with economic theory has transformed financial market analysis, particularly in asset pricing and portfolio optimization. This study synthesizes existing research, identifies gaps and elucidates ML's impact on enhancing economic models and strategies through a Systematic Literature Review (SLR) of 401 relevant documents using bibliometric methodology and VOS viewer. Results show an increasing trend in … …Journal of Computer Science, Vol. 20, Issue 10 · 7 Aug 2024 · 5,715 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of the Optimal Dose of Gibberellic Acid (Full Gib) in the Induction of Sprouting of Yungay Potato Variety Tuber (Solanum tuberosum L.)Wilfredo Ruiz Camacho, Danny Villegas-Rivas, José Manuel Palacios Sánchez et al.This research was carried out in the district of Luya, province of Chachapoyas, Amazonas, with the objective of evaluating the optimal dose of gibberellic acid (Full Gib) in the induction of sprouting of potato tubers (Solanum tuberosum L.) Yungay variety. A Completely Randomized Design (CRD) with two factors three replications and seven treatments was used. Minitat 17 statistical software, ANOVA, … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 24 Jul 2024 · 6,143 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization of the Fermentation Medium of Streptomyces ahygroscopicus ΔnysB, a Tetramycin Producing Strain, by the Response Surface MethodXiao Wang, Yao Dong, Xin Chen et al.Streptomyces ahygroscopicus ΔnysB is a genetically engineered strain that produces tetramycin by blocking the competition nystatin pathway. Response Surface Methodology (RSM) was used to optimize its fermentation medium composition. Taking the yield of tetramycin as the response value, the effects of corn starch, glucose, fish peptone, (NH4)2SO4, KH2PO4, and CH3COONa on the yield of tetramycin were investigated by the Plackett-Burman … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 9 Apr 2024 · 5,319 accessesView PDFCite