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Research ArticleOpen accessIn the abstractPerformance Analysis of Call Admission Control in WCDMA Systems with Mobility based Interference Margin ReservationS. Malarkkan, V. C. RavichandranThis study presents performance of call admission control and resource reservation schemes based on the mobility of the users in WCDMA cellular systems. In order to guarantee the handoff dropping probability, the mobility of the user is predicted based on a realistic mobility model. The mobility prediction scheme used in this study is used to estimate the set of candidate … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Implementing Calls Prioritization with Different Queuing Disciplines in Mobile Wireless NetworksSalman A. AlQahtani, Nasser-Eddine RikliIt is known that efficient call handling mechanisms can greatly improve cellular network performance. One way to improve system performance of cellular network is to use efficient handover schemes when users changes between cells. This paper focuses on the performance evaluation of originating and handover calls prioritization using different queue size and discipline. Both calls will be queued until they … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 6,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractBrain Tumor Segmentation and Classification Using HardNet Transformer With Gated Recurrent Unit ModelSaida D, Srinivas Adepu, Thade Lakshmi Devi et al.The uncontrolled growth of brain tumor cells presents a severe health risk, making early diagnosis and accurate classification essential for improving treatment outcomes. However, the existing approaches used for segmentation fail to delineate the tumor regions accurately due to a lack of global contextual information of brain tumors, resulting in poor classification performance. To overcome this limitation, this research proposes … …Journal of Computer Science, Vol. 22, Issue 9 · 26 Sep 2026 · 630 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Monitoring of Endocrine-Disrupting Chemicals: Analytical Chemistry and Biological Assessment ApproachesChangjin Li, Jing Huo, Zijun Dou et al.Endocrine-Disrupting Chemicals (EDCs) in aquatic environments pose significant threats to ecosystems and human health. These compounds interfere with hormonal regulation at low concentrations and have non-monotonic dose-response relationships, posing challenges to conventional risk assessment. This review systematically compares current EDC monitoring methods, including instrumental chemical analysis and receptor-based biological detection systems, to evaluate sensitivity thresholds, sample throughput, and mechanistic selectivity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,081 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Hydrodynamic Conditions on Algal Organism GrowthBingxin Zhong, Zhifu Wang, Weihua Feng, Baoxing HuangThe growth of algal organisms is influenced by hydrodynamics, making it a crucial aspect of algal biology. We summarize recent studies on the impact of hydrodynamics on algal growth, with a specific focus on current velocity. In the past, extensive attention has been paid to the direct effects of impact factors on algal blooms and there is still a certain … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 9 Sep 2024 · 4,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Selection-based MCL Clustering Algorithm for Motif DiscoveryChunxiao Sun, Zhiyong Zhang, Jinglei Tang, Shuai LiuAs motif discovery plays an important role in the understanding of the relationship of gene regulation, this paper puts forward a selection-based MCL clustering refinement algorithm (SMCLR) aiming at solving the planted (l, d) motif search (PMS) problem. Firstly, we divide the DNA dataset into different subsets through selection of reference sequence and screen parts of eligible subsets by setting … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 4 · 1 Jan 2019 · 8,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation and Comparison of the Quantitative and Qualitative Frequency Distribution of the RiversVijay P. Singh, Mohsen Ghane, Kaveh Ostad-Ali-Askari et al.The entrance of pollutants from human activities to the surface water has seriously threatened the quality of water. TDS is an important qualitative parameter of water that describes the water salinity by measuring the concentration of total dissolved solids. First, using TDS and discharge data of the Cuyahoga River, Ohio, the partial and annual data sets were obtained. Then, partial … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 16 Oct 2017 · 8,487 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Diagnosis of a DC Motor by Bond Graph ApproachAbderrahmène Sallami, Nadia Zanzouri, Mekki KsouriIn this article, a Bond Graph (BG) approach is used for modeling, simulation and robust diagnosis of a DC Motor. The design and calculation of an observer is achieved by using graphical methods taking advantage of the structural properties of bond graph model. Simulation results are used to show the dynamic behavior of the system variables and assessing the performance … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 17 Jun 2016 · 8,001 accessesView PDFCite