Research ArticleOpen accessIn the abstractComparative Study of Packet Scheduling Algorithm in LTE NetworkAlaa Omer Najim, Nor Asilah Wati Abdul Hamid, Zurina Mohd Hanapi, Idawaty AhmadAt present, Long-Term Evolution (LTE) is the most popular Internet access technology because of its robust wireless connectivity that can support data, voice, video and messaging traffic. This advantage has significantly increased the number of users availing themselves of these services through various devices. Such an increase in the number of users has also increased network traffic. Thus, scheduling algorithms … …Journal of Computer Science, Vol. 13, Issue 12 · 20 Dec 2017 · 7,822 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivalent Optimizer-Based Hybrid Genetic Algorithm for Task Scheduling in Cloud ApplicationsMeena Malik, Bhavna Gupta, Chander Prabha et al.Cloud computing platforms provide on-demand online services without the need for direct user management. Generally, big clouds distribute functions over multiple data centers at distant locations. The major facilities offered by clouds are based upon virtual machines which provide benefits in terms of low scheduling cost, improved accessibility and availability of cloud services. While transferring the tasks for effective scheduling, … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Optimized Extreme Learning Machine (GA-OELM) for DDoS Attack Detection in Cloud EnvironmentMeryem Ec-Sabery, Adil Ben Abbou, Abdelali Boushaba et al.The widespread adoption of cloud computing has increased the attack surface and raised significant security concerns. A Distributed Denial of Service (DDoS) is a serious attack that depletes the network and server resources in cloud computing, causing service downtime or reduced performance. Therefore, defending against DDoS attacks becomes an urgent need. In this present paper, we propose an Optimized Extreme … …Journal of Computer Science, Vol. 21, Issue 1 · 19 Dec 2024 · 5,033 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved SVM with Hyperparameter Tuning for Fake News DetectionAtcharaporn Nachaithong, Kittipol WisaengIn today’s digital age, accessing information has become effortless. An abundance of resources is available online, from trustworthy news outlets providing factual information to unverified opinions shared by anonymous individuals. With the advent of modern technology, social media platforms have revolutionized interaction and staying informed, providing instant access to news and information related to a wide range of topics. They … …Journal of Computer Science, Vol. 20, Issue 10 · 28 Aug 2024 · 5,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Scheme for Enhancing Storage Management and Performance and Saving Energy of Mobile Cloud ComputingAli A. Yassin, Abdulla J. Yassin, Abdullah Mohammed Rashid, Ahmed A. AlkadhmaweeModern industries for smart mobile devices, such as smartphones, provide end users with interactive features that consider network accessibility, computation performance, storage usage, energy saving and limited battery resources. The combination of cloud and mobile computing capabilities has introduced a new technology called Mobile Cloud Computing (MCC), which has extended smartphones and modern mobile devices beyond their core capacities. Many … …Journal of Computer Science, Vol. 15, Issue 5 · 9 May 2019 · 7,871 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research NotesOpen accessIn the abstractA Comprehensive Study on Mobility Issues in AODVThiripurasundari SivakrishnakumarAd-hoc network plays an important role in wireless networks as they are self-configured and can be operated independently with limited resources. The critical issue is to assess the performance of routing protocols in Mobile Ad hoc Network (MANET) due to the frequent changes in network topology. Here the Ad-hoc On demand Distance Vector (AODV) routing protocol, which is quite susceptible … …Journal of Computer Science, Vol. 11, Issue 10 · 2 Jan 2016 · 6,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation Based ADALINE Neural Network for Commodity TradingJ. Chandra, M. Nachamai, Anitha S. PillaiCommodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc. and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the help of the … …Journal of Computer Science, Vol. 11, Issue 7 · 29 Oct 2015 · 7,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Unique Node Based Clustering and Location-Key Pair Based Security for Wireless NetworksT. R. Vedhavathy, M. S.K. ManikandanWireless ad hoc networks are used in emergency situations especially for surveillance and monitoring. The nodes in the ad hoc networks are self-organized and can accommodate by themselves with the available resources. The nodes are capable of random movement and hence there is no fixed infrastructure. The purpose of the ad hoc networks can be fulfilled only if all nodes … …Journal of Computer Science, Vol. 11, Issue 3 · 23 Apr 2015 · 6,430 accessesView PDFCite