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Research ArticleOpen accessIn the keywordsPerformance Evaluation of Modified AODV for Load BalancingAmita Rani, Mayank DaveAODV is a prominent routing protocol for MANET that uses hop count as a path selection metric. However, AODV has no means to convey traffic load on current route. This study focuses on introducing a new metric, Aggregate Interface Queue Length (AIQL), in AODV in order to deal with load balancing issues. Performance evaluation through simulation shows that the modified … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,102 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based CryptosystemKumari Rinki, Pushpneel Verma, Tanupriya Choudhury, Bhupesh Kumar SinghAs a result of the emerging technologies such as Internet-of-Things (IoT), data analysis and automation in many aspects of identity, watermarking has become increasingly important. A majority of prior systems focused on watermark embedding and recovery techniques for binary and grey-scale images in one specified region of the cover image, making the system less dependable. This study develops a novel … …Journal of Computer Science, Vol. 17, Issue 10 · 13 Nov 2021 · 6,094 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority RulesRamin Ahmed, Md. Muzahid Khan, Md. Hasibul Haque, Md. Hasibur RahmanThis paper aims at developing a dynamic job shop scheduling by establishing fuzzy rule based system and comparing its effectiveness with the traditional priority rules. In order to understand the priorities of different jobs in a job shop, the paper investigates all the contributing criteria of different parameters. Since the traditional priority rules only emphasis on a single parameter at … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 11 Feb 2016 · 8,365 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUSE OF SALINE WATER FOR GREENHOUSE BELL PEPPER (CAPSICUM ANNUUM) PRODUCTIONV. C. Patil, K. A. Al-Gaadi, M. A. Wahb-Allah et al.A greenhouse experiment was conducted to study the response of bell pepper to quality of irrigation water and irrigation regimes. The main treatments included non-saline water (EC-0.5 dS m-1) and saline water (EC-3.5 dS m-1). The sub-treatments included three irrigation regimes (at 100, 80 and 60% of crop Evapotranspiration (ETc)) in combination with three crop growth stages (vegetative, flowering to … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 2 · 1 Feb 2014 · 8,605 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEVALUATION OF NITROGEN APPLICATION METHODS AND RATES WITH NUTRISPHERE-N ON CORN IN SOUTHEASTERN COASTAL PLAINSPawel WiatrakApplication method of Nitrogen (N) and Nutrisphere-N may influence corn (Zea mays L.) growth and yields under dryland conditions. The objective of this study was to determine the effect of two N application methods (all at planting and split application with 35 kg N ha-1 applied at planting and remaining N at V6 stage) and five N rates (0, 45, … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 1 · 4 Jan 2014 · 7,297 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Improved Time Domain Pitch Detection Algorithm for Pathological VoiceMohd Redzuan Jamaludin, Sheikh Hussain Shaikh Salleh, Tan Tian Swee et al.Problem statement: The present study proposes a new pitch detection algorithm which could potentially be used to detect pitch for disordered or pathological voices. One of the parameters required for dysphonia diagnosis is pitch and this prompted the development of a new and reliable pitch detection algorithm capable of accurately detect pitch in disordered voices. Approach: The proposed method applies … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,668 accessesView PDFCite
Research ArticleOpen accessIn the keywordsObject Oriented Modeling of Thermostatically Controlled Devices for Cold Load Pick-upAlexandre de Assis Mota, Lia Toledo Moreira Mota, Claudia Cotrim PezzutoProblem statement: During service restoration, the power level at buses can significantly differ from the one presented under steady-state conditions, demanding an amount of electric power significantly higher than the normal load. Hence, their post-outage behavior must be adequately forecasted in order to permit the development of reliable restoration plans, or to avoid inadequate actions that may lead to a … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 6,847 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 566 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized XGBoost for Ethereum Fraud Detection: A Cost-Sensitive ApproachSupriya P., Rubah Sheriff, Shreya Padaki et al.In today’s technologically advancing world, many fields from finance to healthcare and education are shifting toward a digital and decentralized format. A significant transformation is underway with the currency of the masses. Blockchain-based cryptocurrencies like Bitcoin and Ethereum allow users to generate fungible tokens anonymously through smart contracts. However, these features also facilitate illicit transactions and cybercrimes like fraud, phishing, … …Journal of Computer Science, Vol. 21, Issue 12 · 10 Jan 2026 · 2,770 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,480 accessesView PDFCite