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56 results for “Resilience”
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Research ArticleOpen accessIn the abstractOptimized Vehicle Insurance Claim and Settlement Procedures Using IOT Sensors on a Blockchain-Based PlatformPreeti Sharma, Meenakshi Malik, Chander Prabha et al.The conventional vehicle insurance claim and settlement landscape is characterised by significant inefficiencies, including cumbersome claim submissions, arbitrary damage assessments, and susceptibility to fraudulent activities. These problems lead to a longer processing time, higher operational cost to the insurers and a reduction in policyholder satisfaction. To address these important challenges, this study proposes a streamlined vehicle insurance claims system that … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractRisk Assessment of Healthcare Information Systems in Indonesian Regional Government Hospitals Using ISO 27001:2022Deo Alif Alfitrah, Nilo LeegowoThe growing number of cyber-attacks targeting the healthcare sector, particularly Indonesian regional government hospitals, reflects the absence of a structured information security management system. Issues such as shared account usage, lack of staff security training, and undocumented incident reporting present serious risks to patient data. This study aims to assess the current state of information security in a government hospital … …Journal of Computer Science, Vol. 22, Issue 3 · 13 Mar 2026 · 2,416 accessesView PDFCite
Research ArticleOpen accessIn the abstractLSTM-Based AI Model for Sinkhole Attack Detection With Legal Basis in an Ecuadorian Public InstitutionEstefanía Alejandra Mora Parra, Rubén Nogales Portero, Moisés Toapanta T. et al.Wireless Sensor Networks (WSN) are an essential component of the Internet of Things (IoT). However, their decentralized nature, data transmission over unencrypted channels, and the physical exposure of nodes make them especially vulnerable to attacks, among which the sinkhole attack stands out. This research aims to develop a machine learning–based model to detect sinkhole‐type attacks in wireless sensor networks, with … …Journal of Computer Science, Vol. 22, Issue 3 · 4 Mar 2026 · 1,648 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptation and Use of the Gangaria Seed Drill for the Improvement of Peanut (Arachis hypogaea) Cultivation in Niger: Case of the Maradi and Zinder RegionsAbdoulahi Mamane, Arifa Warouma et al.In Niger, peanut cultivation plays a significant role in food security and improving the incomes of rural households, particularly in the Maradi and Zinder regions. However, this crop remains hampered by low mechanization, the use of traditional tools, and inefficient fertilization, resulting in consistently low yields of around 600 to 800 kg/ha. Faced with these constraints, this study aims to … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 6 Feb 2026 · 2,832 accessesView PDFCite
Case ReportOpen accessIn the abstractEnergy Positive Futures: A Critical Overview of Energy Plus BuildingsErdem CuceEnergy Plus Buildings (EPBs) represent a transformative leap in sustainable architecture by producing more energy than they consume annually. As nations commit to net-zero targets and climate resilience, EPBs serve as living laboratories for integrating renewable energy, energy-efficient systems, and smart technologies. This editorial synthesises current advancements, policy frameworks, and technological integrations enabling EPBs. It also critically examines the barriers, … …Energy Research Journal, Vol. 14, Issue 1 · 8 Jan 2026 · 2,929 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approach to Mitigate DDoS Attacks in SDNHema Surendrakumar Dhadhal, Paresh Kotak, Parvez Faruki, Atul GonsaiThe rise of Distributed Denial of Service (DDoS) attacks remains a significant obstacle to network security and availability. This abstract presents a new hybrid model for DDoS mitigation in Software-Defined Networking (SDN) environments, combining a Semi-supervised Deep Extreme Learning Machine (Semi-Deep ELM) with a hybrid architecture. SDN's centralized control and programmability create an ideal platform for implementing advanced mitigation strategies. … …Journal of Computer Science, Vol. 20, Issue 9 · 5 Jul 2024 · 5,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractFloodplain Plant Diversity and Anthropogenic Impacts in the Irtysh River Valley, Northeastern KazakhstanShynar Zhanybekovna Arynova, Kanat Kombarovich Akhmetov, Galymbek Sovetovich Azhayev et al.This study investigates the composition, diversity, and ecological adaptation strategies of plant communities in the Irtysh River floodplain (Northeastern Kazakhstan) under natural and anthropogenic pressures. Field-based geobotanical surveys were conducted from May to August 2024 across 40 representative plots. Standard phytocoenotic description methods were employed, along with phenological and ecological assessments. A total of 549 vascular plant species from 74 … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 26 Nov 2025 · 1,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Phenotypic Plasticity in Dairy Production Traits of Toggenburg Goat Genotypes Across South African Agro-ecological ZonesMatshebuka Tshepho, Obert Tada, Louis Thobela TyasiThe study evaluated phenotypic plasticity (PP) in reproductive and milk production traits of Toggenburg (TOG) goat genotypes across five South African agro-ecological zones (AEZ) using a longitudinal observational design. Data from 2,417 does representing five genotypes (Founders, CP, Appendix A, Appendix B, and StudBook Proper) were sourced from the Milch Breeders Society of South Africa LOGIX database. Descriptive statistics and … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 25 Nov 2025 · 2,378 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intrusion Detection System Using Optimized Deep Learning for IoT NetworksChempavathy B., Mouleeswaran S. K.In the rapidly evolving landscape of Internet of Things (IoT) networks, assuring security is paramount. Cyber-attacks on IoT networks are evolving in complexity and scale. Intruders employ diverse tactics, including malware, Denial of Service (DoS) attacks, along with unauthorized access. This research aims to propose an optimized Deep Learning (DL) based Intrusion Detection System (IDS) to bolster security within IoT … …Journal of Computer Science, Vol. 21, Issue 8 · 9 Oct 2025 · 2,993 accessesView PDFCite