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91 articles for “structural and functional networks”
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 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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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
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Exploring the Role of MAPK3 in Major Depressive Disorder: Molecular Docking, Dynamics, and Binding Free Energy Analysis of Natural Compounds as Alternatives to Conventional Drugs
Abstract: Major Depressive Disorder (MDD) is a prevalent neuropsychiatric disorder with limited treatment efficacy and significant side effects associated with conventional antidepressants. Recent studies have highlighted the role of mitogen-activated protein kinase 3 (MAPK3) in the mechanisms underlying MDD, positioning it as a potential target for the development of novel therapeutic drugs. In this study, we employed various computational approaches to explore natural compounds as viable alternatives to synthetic antidepressants. Researchers …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 53–68 Read article
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A Surgical Exploration of the Mechanism and Regulation of the Respiratory System: A Conceptual Analysis
Abstract: The respiratory system plays a vital role in facilitating the movement of air in and out of the body, comprising a complex network of anatomical pathways. It is conventionally divided into two primary sections: the upper respiratory tract and the lower respiratory tract. Within the upper respiratory tract lie structures extending from the nasal passages down to the vocal cords, crucial for phonation. These vocal cords, composed of mucous membrane …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 1, 2024 · pp. 56–63 Read article
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A comprehensive study on interactions between protein molecules and their importance in Drug Discovery
Abstract: Protein-protein interactions (PPIs) are extremely specialized chemical and physical interactions that occur when two or more protein molecules come into contact with one another with the help of biochemical processes impacted by interactions between them, such as hydrogen bonding, electrostatic forces, and the hydrogen effect. Many interactions that occur in a specific bimolecular environment within a cell or living creature entail physical contact as well as molecular connections between chains. …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 10, Issue 3, 2023 · pp. 1–10 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Automatic Detection and Classification of Brain Tumor in Magnetic Resonance Images
Abstract: Brain tumor is one of the serious diseases that have caused death to many people in recent years. The complex structure of the brain and its main function associated with the central nervous system and its critical role in controlling most of the functions of the body make detection of tumor a challenging task. Many techniques have been presented in the medical field in order to detect brain tumor from …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 34–40 Read article
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Energy performance analysis: An exploratory study of HVAC systems in efficient management of data centres
Abstract: Data center growth is being driven by the rapid proliferation of cloud services. Data centers are using an increasing amount of energy. The network is severely impacted by server workloads, cooling, and supporting equipment. The study aims to identify the energy consumption involved in building services and their operations and analyze the ways in efficient management of performance in data center. The objective of the study is to identify the …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 51–71 Read article
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Effects of Plasticizers on Structures of Chemical Functional Groups, Morphologies, Water Vapor Permeability, and Thermal Properties of HPMC/BW Biopolymer Films
Abstract: Food preservation is one of the fields that many researchers are interested in, especially in the epidemic period like COVID-19 today. The better food or agricultural products are preserved for a long time, the more it ensures social stability for state management related to food security for people. This paper introduces one kind of biopolymer films with investigation on effect of plasticizers to its characteristics. In order to produce biopolymers, …
Published in Journal of Polymer & Composites · Vol. 9, Issue 2, 2021 · pp. 10–20 Read article
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Structure-Property-Process Relationships in BNNS-Modified PEEK Nanocomposites for High-Performance Applications
Abstract: This study reports the design and performance evaluation of boron nitride nanosheet (BNNS)-reinforced polyetheretherketone (PEEK) nanocomposites fabricated using melt compounding and high-temperature Fused Filament Fabrication (FFF). PEEK, a high-performance thermoplastic, was reinforced with BNNS at 0.5–5wt.% to enhance mechanical, thermal, and tribological functionalities for advanced engineering use. Composite filaments were extruded and printed using a modified Bambu Lab FFF printer. Mechanical testing revealed a peak tensile strength of 108 MPa …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–888 Read article
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Comprehensive Analysis of Modern IoT Security Challenges and Solutions
Abstract: The Internet of Things (IoT) is rapidly transforming various industries by enhancing the human quality of life (QoL) through its wide-ranging applications. From healthcare to automotive, agriculture, education, and numerous other sectors, IoT has become essential for enabling smarter, more efficient systems. However, with its heterogeneous nature, IoT introduces a multitude of security challenges, as different IoT applications often function under varying frameworks and protocols. Consequently, addressing and studying IoT …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 34–39 Read article
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Electoral Engagement and Political Representation: An Analytical Study of Women’s Participation in India’s Democratic Process
Abstract: This study investigates the persistent disconnect in women’s political participation in India, where their consistently high voter turnout stands in stark contrast to their minimal presence in Parliament. Although constitutional provisions guarantee equality and women demonstrate strong engagement as voters, their representation within formal political structures remains disproportionately low. Using the 2024 Lok Sabha elections as a primary reference point, the research interrogates core questions surrounding this imbalance: Why does …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 1–23 Read article
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Development of Self-Healing Circuit Boards Using Shape Memory Polymer Composites
Abstract: This study investigates the influence of temperature, humidity, and nanofiller type on the electrical and structural performance of advanced polymer nanocomposites for self-healing circuit applications. Particular attention was given to conductivity retention and the morphological behavior of carbon nanotubes (CNTs), graphene, and silver nanoparticles (AgNPs). Results show that conductivity decreased under elevated thermal–humidity conditions, reflecting the role of environmental stress in material degradation. Among the tested systems, AgNP-based composites achieved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 746–770 Read article
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Electromagnetic and Dielectric Performance of Polymer–Ceramic Composite Substrates for Fractal-Based IoT-Antenna Fabrication
Abstract: Polymer–ceramic composite substrates play a crucial role in determining the electromagnetic performance, mechanical stability, and thermal reliability of radio-frequency devices. In this work, a polymer-based composite substrate is systematically investigated for its suitability in compact IoT and RFID antenna applications. A fractal-structured antenna is employed as a functional test platform to evaluate the dielectric behavior, impedance characteristics, and radiation efficiency of the composite substrate. Novelty of the proposed reader antenna …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1518–1534 Read article
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Water reservoir engineering and management
Abstract: This work aims to develop a practical system to store water in times of abundance and reuse it in times of scarcity. The proposed system uses natural caves, caverns, or empty underground spaces from mining or oil or gas extraction to store water. The geological structure of the water reservoir should be a non-porous substrate to avoid leakage. Water collection comes from dam discharge during thaw times or river flooding, …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 1–12 Read article
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A Review on Neural Networks and its Applications
Abstract: Neural Networks have been a hotspot domain for researchers due to its increasing area of applications in areas where huge amounts of data is used and the main goal is to infer patterns out of it. This passage offers an assessment of Neural Networks and their pragmatic uses in real-world situations. It provides information regarding the basic structure of Neural Networks and its working principles. There are also brief introductions …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 60–71 Read article
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Learning Data Structures: Key to Good Programming
Abstract: Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks. It explains how selecting and using the correct data structures may speed up computations, optimize memory, and scale code. How data structures and algorithms relate and how to think about …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 29–39 Read article
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Multifunctional Lignin-Modified Jute/Bio-Epoxy Composites with MWCNT-Based Piezoresistive Self-Sensing for Sustainable Housing Applications
Abstract: This study develops a multifunctional natural-fibre-reinforced polymer composite based on alkali-treated jute fabric, bio-based epoxy, kraft lignin and a small amount of multiwalled carbon nanotubes (MWCNTs), with particular emphasis on polymer-matrix modification, fibre–matrix interfacial behaviour and intrinsic damage sensing. Kraft lignin was incorporated at 0, 2, 4 and 6 wt.% to examine its influence on polymer-chain mobility, interfacial morphology, thermal stability and mechanical response, while 0.5 wt.% MWCNTs was introduced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Applicability of Integrating BN and Resilience Engineering on Qualitative to Quantitative Description of Human Error
Abstract: Human activities are predominant part of everyday tasks from design, cAbstract Human activities are predominant part of everyday tasks from design, construction, operation, management, maintenance, system upgrade, medical and social life as well as individual human performance. It is not surprising then to see that a major means of failures are related to human errors. But there is still lack of heeds to qualify as well as quantify such errors. …
Published in Journal of Offshore Structure and Technology · Vol. 3, Issue 2, 2016 · pp. 6–16 Read article