Research ArticleOpen accessEvery word in the titleProposed Reliability Techniques on Soil and Rock ExcavationsS. TangchawalProblem statement: Assessment of the ground mass excavation is normally done by the deterministic method. A quantitative indication of mass stability provides as an index term known "the Factor of Safety (F.S.)". There are uncertain to some degrees, such as only a single value of mass properties is used or variation in geologic conditions, computed values of F.S. are never … …Energy Research Journal, Vol. 2, Issue 1 · 26 Jan 2012 · 7,411 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign For Test Technique for Leakage Power Reduction in Nanoscale Static Random Access MemoryN. M. Sivamangai, GunavathiProblem statement: As technology scales down, the integration density of transistors increases and most of the power is dissipated as leakage. Leakage power reduction is achieved in Static Random Access Memory (SRAM) cells by increasing the source voltage (source biasing) of the SRAM array. Another promising issue in nanoscaled devices is the process parameter variations. Due to these variations, higher … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Network Security through Accurate Asset Discovery Using Lightweight Agent-Based ApproachIshu Sharma, Ahthasham Sajid et al.Any organization's network administrators and security professionals must have an accurate and real state of assets connected to the network to devise different policies for securing critical resources by identifying vulnerabilities. Asset discovery is a challenging and critical task in vulnerability assessment. The vulnerability of the organization’s network can be correctly analysed only with the accurate prediction of connected devices. … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Mar 2026 · 1,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Hybrid Spectrum Sensing Method Using TCDT and IEDT for Cognitive RadioNeha Chaudhary, Rashima Mahajan, Richa Adlakha et al.The development of efficient spectrum sensing techniques has witnessed progressive growth for optimum utilization of spectrum resources in cognitive radio. The primary objective of spectrum sensing is the identification and proper utilization of the spectrum holes. Nowadays, due to the advancement of wireless technologies, the demand for spectrum is also increasing and thus in turn, the requirement for better spectrum … …Journal of Computer Science, Vol. 20, Issue 11 · 20 Nov 2024 · 4,301 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrioritized Experience Replay-Based Deep Deterministic Policy Gradient for Reliable Path Selection in SDN-IoT NetworksGaurav Kumar, G. S. Girisha, N. ShamanthRouting optimization is becoming prominent in Software-Defined Networks (SDN) due to the exponential growth of network traffic demands and the requirement for Quality of Service (QoS). However, reliable routing that satisfies the QoS requirements, such as end-to-end delay, packet loss, and bandwidth, remains a difficult task in SDN. To overcome this limitation, a Deep Reinforcement Learning (DRL)-based Prioritized Experience Replay-based … …Journal of Computer Science, Vol. 22, Issue 8 · 4 Aug 2026 · 1,001 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Eastern Arabic Hand Written Digits Recognition Using Deep LearningHamdy Morsy, Hashim M. Hasanien et al.Convolutional neural networks CNNs or simply deep learning was designed for the challenging of object recognition such as digits, characters and even objects that can be classified. The deep convolutional networks are designed to be trained through using a large dataset of the classes. The degree of complexity of recognizing handwritten digits are different from person to person and even … …Journal of Computer Science, Vol. 21, Issue 6 · 27 May 2025 · 4,930 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Clustering-based Metaheuristic for Physical Internet Supply Chain NetworkAbdelsamad Chouar, Samir Tetouani, Aziz Soulhi, Jamila ElalamiIn this study, a data clustering-driven technique is proposed for a Physical Internet Supply Chain Network (PI-SCN) to reduce data complexity, process time compression, and lankness of process optimization. Given a set of data points, a clustering algorithm aims to classify each data-points into a specific group. Each group should have similar properties and/or features, while data points in different … …Journal of Computer Science, Vol. 18, Issue 4 · 21 Apr 2022 · 6,472 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Regularization Mechanism for Combating Class Imbalance Problem in Intrusion Detection System for Defending DDoS Attack in SDNNarender M, Yuvaraju B NIntegration of deep learning into Intrusion Detection Systems (IDS) for Software Defined Networking (SDN) is an emerging field of research. Most of the datasets used to build IDS are highly imbalanced, especially in the case of DDoS attacks, which account for a larger percentage of malicious samples than normal traffic. As a result of a class imbalance, the classification result … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,659 accessesView PDFCite