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Research ArticleOpen accessEvery word in the titleEfficient Anaerobic Fermentation of Simple Sugars by Yeast Fuels Resistance Candida spp. Infections to Eradication by DrugsNedosa Ikenna Valentine, Utoh-Nedosa Uchechukwu Anastasia, Dan Danjuma et al.Problem statement: Human systemic Candida infections had proved difficult to eradicate by the medical health care system. Some practitioners and scholars see the problem as being due to drug resistance. For example an author wrote that ‘secondary drug resistance is clearly being encountered in one setting, oropharyngeal candidiasis in patients with advanced Human Immunodeficiency Virus type 1 (HIV-1) infection usually … …American Journal of Infectious Diseases, Vol. 7, Issue 4 · 10 Dec 2011 · 7,836 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTopology Control Using Efficient Power ManagementS. Karunakaran, P. ThangarajProblem statement: Effective Topology control will improve the performance and the capacity of Mobile Ad-hoc networks by building reliable network structure. Approach: Power level is used as the basis for topology control since it reduces spatial interference while increasing the effective channel capacity and network lifetime. Results: In this study, we design a topology control using efficient power management algorithm … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,715 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Analysis of Garbage Classification Using Balanced and Unbalanced Dataset with EfficientNetV2B1 ArchitectureRetinderdeep Singh, Chander Prabha, Ayman Noor et al.This research concentrates on EfficientNetV2B1 deep learning model to classify garbage collection tasks, with both balanced and unbalanced dataset configurations. The dataset includes 7,260 images for the balanced dataset and 15,515 for the unbalanced one, both of the datasets are used to train and evaluate the model. Training and evaluation of the deep learning model with the standard performance variables: … …Journal of Computer Science, Vol. 20, Issue 10 · 27 Aug 2024 · 5,091 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Efficient-Silicon Area MDAC SynapseZied Gafsi, Nejib Hassen, Mongia Mhiri, Kamel BesbesUsing the binary representation ΣiDi2i in the Multiplier digital to analog converter (MDAC) synapse designs have crucial drawbacks. Silicon area of transistors, constituting the MDAC circuit, increases exponentially according to the number of bits. This latter is generated by geometric progression of common ratio equal to 2. To reduce this exponential increase to a linear growth, a new synapse named … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 7,158 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Conceptual Framework for Efficient and Sustainable Pruning Techniques in Deep Learning ModelsNyalalani Smarts, Rajalakshm Selvaraj, Venumadhav KuthadiThis research paper proposes a conceptual framework and optimization algorithm for pruning techniques in deep learning models, its focus is on key challenges such as model size, computational efficiency, inference speed and sustainable technology development. The aim of the framework is to transition from large neural networks to sparse, efficient models, indicating the benefits of pruning in improving model scalability … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,268 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Data Encryption for Securing HDFS Using DQN-Enhanced Deep Reinforcement Learning TechniquesShivani Awasthi, Narendra KohliIn the era of big data, ensuring the security of large-scale distributed storage systems like the Hadoop Distributed File System (HDFS) is critical. Traditional encryption methods often struggle to balance robust security with system performance, leading to vulnerabilities and inefficiencies. This study presents the design and implementation of an efficient data encryption algorithm for securing HDFS using Deep Q-Network (DQN) … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 6,376 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Cloud-Based Approach for Privacy-Preserving Medical Image Retrieval: Leveraging Local Features and PCA in Two Efficient StepsM Geetha Yadav, SP ChokkalingamThe major challenges of content-based image retrieval are searching, ranking, and retrieving in secure mode. In this article, we propose a two-step security approach for each database image, utilizing encryption mechanisms and cloud technology. In this approach, the watermark-embedded encrypted images, along with the efficient feature vector database and the list of authenticated users, will be stored in the cloud. … …Journal of Computer Science, Vol. 20, Issue 12 · 4 Nov 2024 · 4,290 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIAFIR Optimization against NOMA Competitors: A Comprehensive Analysis on Energy-Efficient Non-Orthogonal Multiple AccessS. Pavithra, S. ChitraThe ever-growing demands of next-generation wireless networks necessitate the exploration of innovative technologies to enhance spectral efficiency, user experience and network performance. Non-Orthogonal Multiple Access (NOMA) has emerged as a promising candidate, offering the potential for increased capacity and improved system reliability. NOMA allows multiple users to share the same time-frequency resource, breaking away from traditional orthogonal access methods. In … …Journal of Computer Science, Vol. 20, Issue 8 · 31 May 2024 · 5,053 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAssessment of Efficient Thermal Conversion Technologies and HHV from Compositional Characteristics of Cassava Peelings, Plantain Peelings and Corn CobsSamomssa Inna, Oumarou Amadou Amadou, Jiokap Nono Yvette et al.The understanding of compositional characteristics permits to predict the efficient thermal conversion technologies and Higher Heating Value (HHV). Although HHV can be determined directly, many models have been proposed for HHV prediction. They are based on proximate, ultimate, and structural analysis and require much data collected. The present work assesses to predict efficient thermal conversion technologies and HHV of the … …Energy Research Journal, Vol. 13, Issue 1 · 27 Dec 2022 · 10,157 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 599 accessesView PDFCite