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1144 articles for “complexity”
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Chlorophyll-Mimicking Ti₃C₂Tₓ MXene-Conjugated Polymer Nanocomposites: Nature-Inspired Exciton Funneling Architecture for Ultrahigh Photon-to-Electron Conversion in Organic Solar Cells
Abstract: Green plant photosynthetic machinery is one of the most efficient natural systems for harvesting solar energy and converting it into useable electronic charge. Specifically, chlorophyll molecules in the Light-Harvesting Complex II (LHC-II) achieve nearly unity quantum yield via a well-organized Förster Resonance Energy Transfer (FRET) mechanism that enables excitons to migrate towards reaction centers. This study presents a bio-inspired nanocomposite architecture using two-dimensional Ti₃C₂Tₓ MXene nanosheets functionalized with chlorophyll-mimicking porphyrin …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 114–130 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Dystocia in Dairy Cattle: Causes, Consequences, and Preventive Measures for Improved Reproductive Health and Productivity
Abstract: Dystocia, or calving difficulty, is a significant reproductive challenge in dairy cattle, with far-reaching impacts on animal health, productivity, and farm economics. This review paper comprehensively explores the primary causes, consequences, and effective preventive measures associated with dystocia in dairy cows. Dystocia arises from a complex interplay of genetic, physiological, environmental, and management-related factors, including breed predisposition, maternal and fetal size, pelvic structure, and gestational nutrition. The consequences of dystocia …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Legume-Induced Frothy Bloat in Tropical Cattle: Pathophysiology, Consequences and Preventative Measures
Abstract: Legume-induced bloat in tropical cattle is a complex and significant health challenge that affects livestock productivity and welfare. This review aims to elucidate the multifaceted causes of bloat associated with the consumption of leguminous forages, highlighting both the physiological mechanisms and environmental factors that contribute to this condition. Key factors include the high soluble protein content of legumes, rapid fermentation rates in the rumen, and the formation of stable foam, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Review on Effect of the Chemical Composition of some Pharmaceutical Vaccines and their Biochemical Efficacy with Chemical Techniques
Abstract: Chemical compounds are fundamental components in the formulation of medicines and vaccines, playing a critical role in ensuring their safety, stability, and effectiveness. Vaccines contain a combination of active and inactive ingredients, including weakened or inactivated viruses or bacteria, toxins, preservatives, stabilizers, adjuvants, antibiotics, and minerals. The active ingredient is an antigen, which stimulates the body's immune system to recognize and defend against specific infectious diseases. Adjuvants, such as aluminum …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 01–09 Read article
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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
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems. Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Analyzing Thermal Expansion in Polymer Composites Through Heat Transfer Simulations
Abstract: Although lightweight and strong, polymer composites require careful handling in environments where temperatures shift. Their usefulness in fields like aviation, vehicle manufacturing, and electronic devices comes from customizable heat behavior alongside favorable mechanical traits. Yet variation in size due to heating or cooling remains a concern hard to dismiss. As conditions change, expansion occurs - sometimes enough to disrupt fit, alignment, or function within complex systems. This response to warmth …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Adhesively Bonded Patch Repair in Polymer Composites: Effects of Reinforcement Configuration and Post-Cure Temperature
Abstract: Adhesive patch repair technique has been identified as an effective and economical approach to repair damaged polymer composite structures that are used in aerospace, automotive, marine, wind energy, and many other high-performance engineering applications. Adhesive bonding offers superior stress distribution, reduced stress concentration, less structural weight and fatigue resistance, and thus increases the lifetime of the repair of composite structures when compared to the traditional mechanical attachment approaches. Performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 991–1001 Read article
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MAP: The Invisible Shield Protecting Our Product's Journey
Abstract: Modified Atmosphere Packaging (MAP) has established itself as one of the most reliable and widely adopted preservation technologies in the modern food industry, offering a practical means of extending shelf life while maintaining the sensory and nutritional integrity of food products throughout storage and distribution. The fundamental working principle revolves around deliberately altering the gaseous composition within sealed packages, primarily through the strategic use of carbon dioxide, nitrogen and oxygen …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 52–58 Read article
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Effect of Blunt Truncation in an Aerospike Nozzle
Abstract: Aerospike nozzles are gaining attention as a more advanced alternative to conventional bell nozzles, mainly because they can perform efficiently across a wide range of altitude conditions. Unlike traditional converging–diverging nozzles, aerospike designs naturally adjust to changes in ambient pressure, allowing the exhaust flow to expand more effectively. This results in better thrust performance under varying operating conditions, making them a strong candidate for future aerospace propulsion systems. In this …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Fractional Calculus-Based Analysis of Magneto-Thermal Nanofluid Flow Over Stretching and Shrinking Surfaces
Abstract: This study presents a comprehensive investigation of magneto-thermal hybrid nanofluid flow over stretching and shrinking surfaces using a fractional calculus framework to capture the memory and hereditary characteristics of complex fluid transport phenomena. The proposed model incorporates the effects of magnetic field intensity, thermal radiation, viscous dissipation, Brownian motion, and thermophoretic diffusion on the velocity and temperature distributions within the boundary layer region. A fractional-order derivative formulation is employed to …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 Read article
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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
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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SMART HOSPITAL MANAGEMENT SYSTEM:USING CLOUD, IOT & WEB DEVELOPMENT
Abstract: The Smart Hospital Management System (SHMS) leverages cloud computing, Internet of Things (IoT) technologies, and web development to address the inefficiencies in healthcare management, particularly in the context of the COVID-19 pandemic. With India’s doctor-to-patient ratio below WHO standards, there is a need for innovative solutions to enhance patient care and hospital resource management. This system integrates SpO2, temperature, and ECG sensors with the Raspberry Pi, enabling continuous and real-time …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
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Schizophenia – An Ayurvedic Review and Treatment – A Case study
Abstract: Schizophrenia is a complex, heterogeneous disorder. It is neuro developmental disorder characterized by problems with thinking (cognition),behavior- not focused on goals, negative symptoms, suicidal thoughts This means having a reduced or impaired ability to function normally and having noemotions(notmakingeyecontact,notchangingfacialexpressions,orspeakinginamonotone).Additionally, the person may lose interest in daily activities, withdraw from relationships, or be unable to sustain and reflection often associated with hearing or speech disorders, extreme confusion and associated functional impairments. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 1, 2024 · pp. 40–48 Read article