114 results for “most optimize”

Set a search alert

Research ArticleOpen accessIn the keywordsAn Efficient Way for Clustering Using Alternative Decision TreeE. Gothai, P. BalasubramanieProblem statement: To Improve the quality of clustering; a Multi-Level Clustering (MLC) algorithm which produces a most accurate cluster with most closely related object using Alternative Decision Tree (ADT) technique is proposed. Approach: Our proposed method combines tree projection and condition for clustering formation and also is capable to produce a customizable cluster for varying kind of data along with … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 13 Feb 2012 · 6,739 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA 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 PDF Cite

Research ArticleOpen accessIn the abstractAn Intelligent Approach to Develop, Assess and Optimize Energy Consumption Models for Air-Cooled Chillers using Machine Learning AlgorithmsMostafa Tahmasebi, Nabil NassifThe building sector accounts for more than 70% of the total electricity use. Chillers consume more than 50% of electrical energy during seasonal periods of building use. With the growth of the building sector and climate change, it's essential to develop energy-efficient HVAC systems that optimize the ever-increasing energy demand. This study aims to develop an energy consumption prediction model … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 8 Nov 2022 · 5,516 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStudy of the Thermodynamic Equilibrium of Fragrance Mixtures, Limonene, Linalool and Geraniol, using the Unifac and Cosmo-Sac Models and the Estimation of their Combined Properties in Binary, Ternary and Quaternary MixturesLavínia Mota Cristianismo Silva, José Izaquiel Santos da Silva, Rogério Alexandre Alves de Melo, Edilailsa Januário de MeloPerfume is a non-ideal complex mixture of chemicals originating from the extraction of essential oils and these oils are volatile components extracted from plants, some animals, or even synthesized. For this reason, to compose a fragrance, there are countless possibilities to combine one element and another, which makes the process slow and expensive. Therefore, in this study, we will combine … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 2 · 14 Jun 2022 · 7,454 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIntrusion-Resistant Multi-Hop Communication Protocol for Secure Wireless Sensor NetworksRakesh Ranjan, Vaishali Singh, Hitendra SinghModern Internet of Things (IoT) systems are based on Wireless Sensor Networks (WSNs), which can be distributed to various environments to perform a range of sensing and data aggregation. Their intrinsic deficiencies in computation, energy, and bandwidth, however, make them very vulnerable to routing-layer attacks like black hole and selective forwarding as well as Sybil intrusion. The current studies on … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 935 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSynergistic Effects of Wheat Bran and Inoculants on Fermentation and Nutritional Quality of Soybean Straw SilageLie Yang, Rundong Qin, Jiahuan Liu et al.The efficient valorisation of lignocellulosic biomass from soybean straw into high-quality silage remains a pressing challenge for sustainable livestock production. This study employed a 3×3 factorial design to systematically investigate the interactive effects between wheat bran additions (0%, 10%, 20% of fresh weight) and microbial inoculant regimes (control, Effective Microorganisms, EM+Trichoderma longibrachiatum) on soybean straw silage quality. Two-way ANOVA revealed … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 1 Jul 2026 · 1,109 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Dynamic Lifelong Learning Network for Real-Time Stock Prediction With Reinforcement TuningTalent Mawere, Selvaraj Rajalakshmi, Venu Madhav Kuthadi, Otlhapile DinakanyaneCompanies and investors require accurate market forecasting to make more informed decisions. Traditional methods for predicting stock market performance have become less useful considering the dynamic and volatile nature that characterizes stock markets today. In this paper, we propose an innovative Dynamic Lifelong Learning Network for stock market prediction. The model incorporates a hybrid convolutional long short-term memory with an … …Journal of Computer Science, Vol. 22, Issue 2 · 20 Feb 2026 · 1,822 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAssessment of Phenotypic Plasticity in Dairy Production Traits of Toggenburg Goat Genotypes Across South African Agro-ecological ZonesMatshebuka Tshepho, Obert Tada, Louis Thobela TyasiThe study evaluated phenotypic plasticity (PP) in reproductive and milk production traits of Toggenburg (TOG) goat genotypes across five South African agro-ecological zones (AEZ) using a longitudinal observational design. Data from 2,417 does representing five genotypes (Founders, CP, Appendix A, Appendix B, and StudBook Proper) were sourced from the Milch Breeders Society of South Africa LOGIX database. Descriptive statistics and … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 25 Nov 2025 · 2,378 accessesView PDF Cite

Research ArticleOpen accessIn the abstractLeveraging Cloud Computing for Intelligent Network Management in Smart UniversitiesSitthichai Kao-Ngam, Charuay Savithi, Naruemon PantuchaCloud computing has emerged as a transformative technology that enables users to access shared services over the Internet. Its functions include data storage, processing, and resource management through powerful hardware and effective safeguards. This study uses cloud computing to improve network performance management at Mahasarakham University (MSU), Thailand. The study emphasizes the use of cloud-based tools to improve intelligent network … …Journal of Computer Science, Vol. 21, Issue 9 · 27 Oct 2025 · 2,911 accessesView PDF Cite