Research ArticleOpen accessIn the abstractDifferSqueezeNet: A Leaner Defect Detection ModelJose Joao Manrique Franco, Marcelo RudekIn the industrial environment, the inherent limitations of manual inspection have caused the ascent of automated computer vision systems that aim to match or surpass human performance. In this context, the artificial intelligence field has been interested in defect detection with the creation of many machine learning techniques, focusing on Unsupervised and Semi-supervised learning methods. Since most of these methods … …Journal of Computer Science, Vol. 21, Issue 3 · 4 Feb 2025 · 5,727 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuay Crane Scheduling in Container Terminals Using a Hybrid Genetic AlgorithmAidi Sanaa, Torbi Imane, Mazouzi MohamedContainer terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing port productivity and minimizing delays. This research investigates the Quay Crane Scheduling Problem (QCSP) using a Hybrid Genetic Algorithm (HGA). The proposed HGA method combines the exploratory power … …Journal of Computer Science, Vol. 21, Issue 1 · 26 Dec 2024 · 6,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Neural Network-Based Approach to Sickle Cell Disease-Related Pain ClassificationZacchaeus Omogbadegun, Israel Ogundele, Olufunke OladipupoSickle Cell Disease (SCD), an inherited Red Blood Cell (RBC) disorder, is characterized by anaemia, end-organ damage, unpredictable episodes of pain and early mortality. SCD affects 25% of people living in Central and West Africa causing life threatening “silent” strokes and lifelong damage. Nigeria accounts for 50% of SCD births worldwide (estimated 150,000 of 300,000 babies born with Symptomatic Sickle … …Journal of Computer Science, Vol. 15, Issue 6 · 28 Jun 2019 · 7,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Two Famous Cryptographic Algorithms on Mixed DataEmmanuel Abidemi Adeniyi et al.The rapid development of digital data sharing has made information security a crucial concern in data communication. The information security system heavily relies on encryption methods. These algorithms employ strategies to increase data secrecy and privacy by obscuring the information, which only those parties who have the accompanying key can decode or decrypt. Nevertheless, these methods also use a lot … …Journal of Computer Science, Vol. 19, Issue 6 · 29 May 2023 · 6,020 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of RSA Exponential Key Growth on the Multi-Core Computational ResourceMohamad A. Mohamed, Ammar Y. Tuama, Mokhairi Makhtar et al.Cryptography has been widely used as a mean to secure message communication. A cryptosystem is made up of a publicly available algorithm and a secretly kept key. The algorithm is responsible for transforming the original message into something unintelligible. The result of losing the key or cracked algorithm can be catastrophic, where all secret communications will be known to adversaries. … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 25 Nov 2016 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractExact Permutation Algorithm for Paired Observations: A General and Efficient VersionDavid T. MorseFor the better part of a century, methods have been illustrated for the enumeration of all possible permutations of cases from which an exact characterization of the likelihood of obtaining results as or more extreme as that observed may be determined without having to rely on parametric assumptions or schemes that may be only asymptotically correct. The challenge is the … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 5 Jan 2015 · 6,672 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatic Batch Mode Heuristic Algorithm for Mapping Independent Tasks in Computational GridR. Vijayalakshmi, V. VasudevanGrid computing plays an important role in solving large-scale computational problems in a high performance computing environment. Scheduling of tasks to efficient and best suitable resource is one of the most challenging phase in grid computing systems. Grid environment reveals several challenges in efficient scheduling of complex applications because of its heterogeneity, dynamic behavior and shared resources. Scheduling of independent … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVING FAULT TOLERANT RESOURCE OPTIMIZED AWARE JOB SCHEDULING FOR GRID COMPUTINGK. Nirmala Devi, A. TamilarasiWorkflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes inefficient schedules of application distributed resources and it also worsens the utilization of various resources including network bandwidth and computational cycles. Furthermore considering the literature, all of these existing brokering systems primarily evolved around models of centralized hierarchical or client/server. In such models, vital responsibility such … …Journal of Computer Science, Vol. 10, Issue 5 · 4 Jan 2014 · 6,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying the Holistic Approach to the Physical Sciences and Engineering SystemsJoseph Z. Ben-AsherThe holistic approach is applied to several examples from the field of physics, engineering and systems engineering and its benefits are demonstrated. In all examples a holistic picture is used and studied while ignoring the various details of the discussed problems. Optimal control and optimal estimation approachs are used in the engineering examples. The results show that the holistic approach … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 3 · 28 Aug 2013 · 6,912 accessesView PDFCite