Search
948 articles for “adaptability”
-
A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
-
Effects of Sub-Zero Temperatures on the Viscoelastic Properties of Magnetorheological Elastomer
Abstract: Magnetorheological elastomers (MREs) are smart materials capable of tuneable stiffness and damping under applied magnetic fields. This renders the material as a promising candidate for adaptive vibration control and semi-active engineering applications. While their behaviour at elevated temperatures has been widely explored, limited attention has been given to their performance under sub-zero conditions, which are critical for cold-environment applications. As this has become an important concern, the study investigates the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Space Pharmacy for Human Space Exploration: Overcoming Drug Stability, Packaging Challenges, Pharmacokinetic Variations, and Developing Innovative On-Demand Therapeutic Solutions for Long- Duration Missions Beyond Earth
Abstract: As humankind prepares for prolonged space exploration and the establishment of lunar and Martian habitats, ensuring reliable access to safe and effective medicines has emerged as a critical challenge. The evolving discipline of space pharmacy addresses the unique pharmaceutical needs of astronauts in microgravity and radiation-rich environments, where drug stability, packaging, and pharmacokinetics are markedly different from conditions on Earth. Traditional dosage forms often undergo accelerated degradation, while altered fluid …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 32–47 Read article
-
Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks
Abstract: This work investigates the spatiotemporal dynamics of an ensemble of 100 identical Lorenz oscillators coupled through a mean-field scheme in the presence of additive noise. Building on prior studies of spatiotemporal chaos in coupled Lorenz arrays and mean-field coupled chaotic oscillators, the focus is on how the competition between deterministic coupling and stochastic forcing shapes collective behavior, including complete synchronization, desynchronization, clustered states, and noise-modified spatiotemporal chaos. The governing equations …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
-
Evaluation of the Formation, Concentration, and Mitigation of Heterocyclic Amines in Selected Nigerian Proteinaceous Delicacies
Abstract: This study characterised the kinetics and concentration profiles of six HCA congeners — 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP), 2-Amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx), 2-Amino-3,4,8-trimethylimidazo[4,5-f]quinoxaline (DiMeIQx), 2-Amino-3-methylimidazo[4,5-f]quinoline (IQ), 1-Methyl-9H-pyrido[3,4-b]indole (harman), and 9H-pyrido[3,4-b]indole (norharman) — in six Nigerian food preparations (grilling of popular delicacies — including suya, kilishi, asun, and smoked catfish (eja aro)) using validated liquid chromatography–tandem mass spectrometry (LC-MS/MS) under three cooking modalities (charcoal grilling, pan-frying, oven-roasting). The inhibitory potential of five natural marinade formulations — …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 1–11 Read article
-
Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
-
A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
-
Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
-
Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
-
Task Scheduling in Cloud Computing using Hippopotamus Optimization Algorithm
Abstract: Cloud computing, which provides remote clients with on-demand services, has emerged as a crucial component of contemporary technology. It is still difficult to schedule tasks effectively in such diverse and dynamic situations. Motivated by the hippopotamus's balanced exploration and exploitation behavior, this research suggests a unique work scheduling method utilizing the hippopotamus optimization algorithm (HOA). In order to maximize resource usage and throughput while minimizing makespan and execution cost, the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 22–29 Read article
-
Digital Literacy: A Faculty-Based Comparative Study of Research Scholars at the University of Rajasthan
Abstract: This study explored how much “research scholars in the department of Social Science and Arts of the University of Rajasthan, Jaipur”, understand and use digital technologies. The findings based on 84 questionnaires show that scholars of the Social Science faculty have a relatively high digital literacy compared to those in the Arts faculty. Most of the respondents indicated that they were skilled in using open-access sources. However, about a quarter …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 34–43 Read article
-
Smart Iron Box with Automatic Cloth Detection and Heat Adjustment
Abstract: Ironing continues to be a lengthy and sometimes monotonous activity in domestic chores; especially among those with busy schedules who need to ensure efficiency and minimize risks of harming delicate fabrics. This document discusses the design and development of an intelligent ironing machine that performs ironing tasks using embedded computing and multi-sensor fabric identification. Unlike traditional irons that depend entirely on the manually chosen temperatures and user discretion, the developed …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
-
Surveillance Car Using ESP32 CAM with Tilt, Pan, and Zoom Capabilities
Abstract: This project focuses on developing a mobile surveillance robot using a Wi-Fi-enabled module controlled via a smartphone, designed for discreet observation and remote monitoring. The spy robot system includes essential hardware such as a camera, motor drivers, batteries, and wheels for movement. The main component is the AI Thinker ESP32-CAM module, equipped with an ESP32-S processor and OV2640 camera, capable of image storage through its microSD card slot. Live video …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
-
Emotions and Artificial Intelligence in Finance: Exploring the Relationship
Abstract: The integration of Artificial Intelligence (AI) into financial systems has profoundly transformed the industry, providing unprecedented efficiency, accuracy, and speed in decision-making processes. These technological advancements have streamlined operations, reduced human errors, and enabled more informed decision-making based on vast datasets analyzed in real-time. However, the role of emotions in finance remains a critical factor that cannot be ignored. Human emotions, such as fear, greed, and optimism, frequently drive market …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–17 Read article
-
Polymer-Based Medical Restraints: Advances in Polymer Chemistry for Enhanced Patient Safety
Abstract: Medical restraints play a crucial role in ensuring patient and staff safety during medical procedures, particularly when dealing with individuals who may be at risk of self-harm or unintentional movement. Traditional restraints, often made from rigid materials or fabric straps, present several challenges, including patient discomfort, pressure injuries, and incompatibility with advanced medical imaging techniques such as MRI and CT scans. Moreover, traditional materials may deteriorate over time, diminishing their …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 153–157 Read article
-
A Generative AI Paradigm for a Global Crisis: Redesigning the Sanitary Pad Polymer Lifecycle for Environmental and Public Health in India
Abstract: The sale of disposable sanitary pads, most of which contain non-biodegradable polymers, especially polyethylene (PE), polypropylene (PP) and superabsorbent polyacrylates (SAPs), has led to a souring environmental and population health crisis, especially in India. A linear economic approach of take-make-dispose has resulted in the exponential growth of polymer waste that fully blocks drains, leads to microplastic pollution, and overloads insufficient waste management facilities. Traditional polymers are designed to be permanent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1570–1591 Read article
-
Diet-Driven Enhancement of Immune Resilience, Disease Resistance, and Performance: Mechanistic Insights, Nutritional Interventions, and Implications for Sustainable Dairy Development
Abstract: This review synthesizes current knowledge on how dietary strategies can strengthen immune resilience, improve disease resistance, and enhance productive performance in dairy systems while advancing sustainable development. Immune function in dairy cattle is profoundly influenced by nutrition, with energy, protein, essential amino acids, fatty acids, vitamins, minerals, and bioactive compounds playing critical roles in shaping both innate and adaptive immune responses. Suboptimal nutrition impairs immune competence, increases susceptibility to infectious …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 15–24 Read article
-
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
-
Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article