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Research ArticleOpen accessEvery word in the titleLow Cost Smart Sensor DesignTakialddin A. Al SmadiProblem statement: Sensor with local processing power that enables it to react to local conditions without having to refer back to the central controller. The size and the cost of smart sensor circuit have been reduced. Approach: The use of microcontroller, such as (PIC16C715), with an 8-bit ADC (Analogue to Digital Converter) in one chip. This reduction in the circuit … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 11 Feb 2016 · 7,574 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePreliminary Experimental and Finite-Element Numerical Assessment of the Structural Performance of SMA-Reinforced GFRP SystemsFilipe Amarante dos Santos, Chiara BedonIn this study, the feasibility and potentiality of a novel design concept is explored by means of small scale experimental tests and Finite-Element numerical simulation. Taking advantage of the intrinsic potentiality of Shape-Memory Alloys wires able to work as adaptive actuators when subjected to joule heating, a 'smart-GFRP' concept consisting in Glass-Fiber-Reinforced-Polymer (GFRP) structural members with a SMA reinforcement is … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 27 Sep 2016 · 8,289 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePREVALENCE OF AUTOANTIBODIES REVEALS A PREDOMINANT SMA AND ANCA-PR3/MPO PATTERN IN HIV INFECTION AND SMA IN HAV-INFECTED CHILDRENLuz M. Navarta, Carlos A. Espul, Nelson Acosta-RiveroHepatitis A Virus (HAV) and Human Immunodeficiency Virus (HIV) have been associated with development of autoantibodies and autoimmune manifestations in children. Autoimmune Hepatitis (AIH) is particularly aggressive in children/adolescents with a more severe outcome. Thus, studying the mechanisms of virus-related autoimmune disorders in children is a relevant topic of research. We aimed to study the prevalence of autoantibodies in plasma … …American Journal of Immunology, Vol. 10, Issue 3 · 18 Sep 2014 · 7,038 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmpowering Small Language Models With Chain of Thought and Parameter Efficient Fine Tuning for Efficient Deep ReasoningAryan Raina, Shiwani Gupta, Jagruti Jadhav et al.Small Language Models (SLMs) run faster and fit on modest hardware, yet solving multi-step logic problems has traditionally been difficult for them. This work investigates a systematic, multi-model framework that combines Chain-of-Thought (CoT) prompting with Low-Rank Adaptation (LoRA) parameter-efficient fine-tuning, and measures the contribution of each component independently. We evaluate three SLMs (TinyLlama-1.1B, Phi-3-mini-4k-instruct, and Qwen2.5-1.5B) using 1,164 training samples … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 862 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAI-Driven Visual Communication Strategies for Enhancing Engagement in Smart Hospitality PlatformsYudhiet Fajar Dewantara, Yana Erlyana, Lim Jing YiThe rapid evolution of Smart Hospitality has reshaped how tourists interact with service providers. Visual communication plays a pivotal role in influencing engagement, yet most digital content remains generic, limiting brand resonance. This study investigates AI-driven visual communication strategies to enhance engagement by bridging computer science and design communication. A mixed-method approach was employed, starting with the analysis of 120 … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 677 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,096 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnxiety-Focused Classification Using Smartphone-Based Gait Analysis and Deep Learning ModelsMinchan Kang, Gou-Sung Degbey, Hyunhwa Lee et al.Mood disorders, such as anxiety, significantly impact individual well-being and present challenges to healthcare systems globally. Traditional screening methods, including self-administered symptom questionnaires, provide valuable insights into symptoms but may miss dynamic fluctuations. This study explores the potential of smartphone inertial sensors and deep learning models for anxiety risk classification. Using gait data from 36 participants, collected via smartphone accelerometers … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 821 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBlockchain-Enabled Privacy-Preserving Access Control for Electronic Health Records Using Smart ContractsG. Bhanu Prasad, M. Venkateswara RaoElectronic medical records are crucial for providing high-quality healthcare, but they also raise serious privacy and security issues. Traditional centralised storage systems are vulnerable to manipulation, hacking, and illegal access. This study suggests a smart contract-based blockchain architecture that provides decentralised, unaltered, and privacy-preserving access control for EMRs. The model integrates cryptographic techniques like AES-256 encryption and SHA-256 hashing for … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,306 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBlockchain-NFV for Smart Digital and Secure Physical Structures in E-Government, Healthcare, and Network SystemsHayder Abdulsattar Nahi, Ebtehal Akeel Hamed, Rusul A. Salman, Akmam Majed MosaThis paper proposed a combined model that melds Blockchain technology with Network Function Virtualization (NFV) to promote many areas, such as smart, secure, and scalable physical and digital infrastructures in E-Government, Healthcare, and Network Systems. The model treats the principal objections in conventional systems, including centralization, slowed service deployment, and restricted safety. By employing decentralized Digital Identity Decentralized identifiers (DIDs), … …Journal of Computer Science, Vol. 22, Issue 4 · 21 Apr 2026 · 1,319 accessesView PDFCite