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176 articles for “demand response”
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Reviewing Threat Detection Methods in SaaS Platforms Through the Use of Adaptive Cloud Security Models
Abstract: Software as a Service (SaaS) solution has revolutionized the contemporary business processes as scalable and service-on-demand solution on cloud networks. Yet, this expansion has brought in sophisticated cybersecurity risks because of a multi-tenant environment facing the internet in the SaaS environment. The key to assure the service availability and protection of the data stored off-site is effective threat detection in such dynamic ecosystems. This review article seeks to discuss the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 Read article
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IoT-Enabled Self-Monitoring Polymer Composites for Solar Facade Systems with Cloud-Based Thermal Analytics
Abstract: The increasing demand for intelligent and energy-efficient building systems has hastened the production of smart solar facade systems. This paper presents an IoT-based self-monitoring polymer composite system, which includes thermal analytics running on the cloud to provide real-time assessments of the performance of the facade. The artificial composite panel has sensing capability built in which the material is able to measure both surface and internal thermal behavior simultaneously in dynamic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 657–681 Read article
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Human-Robot Interactions and Social Robotics in Legal, Ethical, and Social Dimensions
Abstract: Human-robot interaction and social robotics have emerged as transformative fields, reshaping human engagement with intelligent machines. This evolution brings profound legal, ethical, and social challenges that demand critical exploration. Also, legal firms often struggle to keep pace with the advancements, raising questions about liability, accountability, and privacy in human-robot interaction. However, social robots, designed to operate in dynamic human environments, present ethical dilemmas around autonomy, trust, and preserving human dignity. …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 09–11 Read article
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Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence
Abstract: The increasing demand for sustainable and autonomous environmental monitoring systems has motivated the development of biologically integrated sensing technologies that combine living organisms with advanced cybernetic intelligence. This study proposes a novel framework of Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence, where living plants act as self-sustaining sensing platforms capable of continuously monitoring environmental conditions without external energy sources. By integrating bioelectrical signal acquisition modules, flexible nanomaterial electrodes, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Wear Attribute of Aluminium Metal Matrix Composite Reinforced With MWCNT, Produced By FSP, On A Vertical Milling Machine
Abstract: The exceptional properties of Aluminium metal matrix composites (AMMCs) like good hardness, specific strength, enhanced wear rate made huge demand in the automobile and aerospace industries. The classical methods of manufacturing AMMCs leave problems at the interface of matrix and reinforcement segregation, like an agglomeration of reinforcements, wettability etc. To overcome this, an alternate, innovative method of fabricating aluminium matrix surface composites has been invented, which is termed friction stir …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 525–539 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Integrated Policy Approaches to Disaster Risk and Climate Change Governance: A Global Review of Institutional Strategies, Techniques, and Community Resilience
Abstract: Climate change and disaster risks have emerged as interconnected threats that demand integrated and adaptive governance systems. While both domains, disaster risk management (DRM) and climate change adaptation (CCA), have independently evolved over time, their convergence remains a complex challenge for policymakers. This review explores the multidimensional integration of policies addressing disaster and climate risks, focusing on institutional coordination, community participation, and the use of innovative governance mechanisms. Drawing insights …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 27–36 Read article
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Layered Metal–Polymer Hybrid Laminates with Embedded Impact Sensors for Connected Automotive Panels
Abstract: The increasing demand for lightweight, intelligent, and structurally reliable automotive components has accelerated the development of multifunctional hybrid materials capable of simultaneously providing superior mechanical performance and real-time structural health monitoring. In this study, a novel layered metal-polymer hybrid laminate incorporating an embedded flexible impact sensor was developed for connected automotive panel applications. The laminate was fabricated using AA6061-T6 aluminum alloy face sheets and a thermoplastic polyurethane interlayer through hot-press …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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The Role of BIM and Parametric Intelligence in Architectural Practice: A Study of Architects in Uttarakhand
Abstract: Dehradun, the capital city of Uttarakhand, represents one of India’s youngest and most dynamic urban centers in Uttarakhand. Since its designation as the state’s capital, the city has experienced a rapid evolution in architectural development and construction technology. As urbanization and design demands increase, architectural practices in Dehradun and across Uttarakhand are progressively shifting from conventional methods toward advanced digital tools that promote precision, efficiency, and sustainable outcomes. Among these, …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 19–38 Read article
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Sustainable Supply Chain Models for Polymer and Composite Manufacturing: A Data-Driven Assessment of Circular Material Flows
Abstract: Polymer and composite manufacturing is faced with growing demands in waste reduction, resource management, and making a shift towards circular economy principles. Although urgent, the adoption of data-driven tools in each step of a supply chain to facilitate efficient cyclic material flows is low. This paper designs and empirically analyzes sustainable supply chain design in polymer and composite production with a focus on digital traceability, closed-loop and material recovery, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 54–71 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Water Hyacinth (Eichhornia crassipes) as Phytoremediator of Abattoir Contaminated Effluents
Abstract: The abattoir industry provided meat for more than 170 million Nigerians and job opportunities for teeming population. It has also been categorized as one of the industries responsible for major pollution of soil and water resources. The aim of this study was to analyze the pollutants present in the effluents from the selected abattoir and evaluate the effectiveness of water hyacinth (Eichhornia crassipes) in removing these pollutants. The experiment was …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 1–08 Read article
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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Optimizing Supply Chain Management: Strategies, Innovations, and Sustainable Practices for Enhanced Operational Efficiency and Global Competitiveness
Abstract: Supply chain management (SCM) is a critical component of modern business operations, directly influencing operational efficiency and global competitiveness. This paper explores strategies, innovations, and sustainable practices aimed at optimizing SCM. It examines the integration of digital technologies, such as artificial intelligence and digital twins, to enhance supply chain performance and adaptability. Additionally, the study delves into sustainable supply chain management (SSCM) practices, including sustainable sourcing, green packaging, and waste …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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Care Taker Bot: A Smart Assistive Device for Elderly Care
Abstract: The growing demand for assistive technologies in healthcare and elderly care has driven the development of intelligent robotic systems. This research work describes the design, hardware integration, and software implementation of a caretaker bot built around the Raspberry Pi 4B module. The system combines essential components such as a speaker, a buzzer, a power bank for portability, a SIM card module for cellular connectivity, and a mobile application for real-time …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 14–22 Read article
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Role of Pharmaceutical Software in Vaccine Development and Manufacturing Process Optimization
Abstract: Vaccine development and manufacturing have become increasingly complex due to the emergence of diverse vaccine platforms, stringent regulatory expectations, and global demand for safe and effective immunization. Across the vaccine lifecycle – from antigen design and preclinical evaluation to large‑scale manufacturing and post‑marketing surveillance – pharmaceutical software now plays a central role in handling data, optimizing processes, and ensuring regulatory compliance. Software tools support in silico antigen and epitope design, …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 1–8 Read article
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Redefining Herd Health: No-Antibiotic Strategies for Revolutionizing Sustainable Dairy Development
Abstract: This study investigates the potential of no-antibiotic strategies to transform herd health management andpromote sustainable dairy development. Rising concerns over antimicrobial resistance (AMR) and the environmental consequences of antibiotic use have intensified the demand for alternative, sustainable disease management approaches. No-antibiotic strategies emphasize preventive health measures, biosecurity, and holistic practices, including optimized nutrition, vaccination, and natural antimicrobial alternatives. The study evaluates diverse management interventions, such as precision livestock farming, genetic …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Smart Street Lighting Enabled by Wireless Sensor Networks: A Path to Energy Efficiency and Fault Monitoring
Abstract: The increasing demand for energy efficiency and smart city infrastructure has led to the adoption of innovative technologies such as wireless sensor networks (WSNs) in street lighting systems. This research explores the design and implementation of a smart street lighting system (SSLS) integrated with WSNs to enhance energy efficiency and enable real-time fault detection. The proposed system utilizes a network of wireless sensors to monitor ambient light levels, vehicular movement, …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 1, 2025 · pp. 24–38 Read article
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Advanced Security Mechanisms for Protecting Mobile Devices: A Comprehensive Analysis of Threats and Counter Measures
Abstract: The digitization of clinical care has led to significant advancements in medical devices and telemetry, fundamentally transforming the healthcare landscape. These innovations have enhanced the quality of patient care by enabling more accurate diagnoses, real-time monitoring, remote consultations, and increased transparency in clinical workflows. As a result, modern medical practices have become more efficient, data-driven, and patient-centric. Devices such as infusion pumps, pacemakers, ventilators, and wearable monitors now rely heavily …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 24–31 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article