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663 articles for “Robustness”
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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article
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Nano-Silica Reinforced Crosslinked Biopolymer–PCM Composites for Improved Thermal Cycling Durability
Abstract: Crosslinked biopolymer–PCM composites reinforced with nano-silica were developed to enhance thermal cycling durability, leakage resistance, and structural stability for advanced thermal energy storage applications. A starch-based biopolymer was chemically crosslinked using citric acid to create a stable polymer network, while paraffin was employed as the phase-change medium and nano-silica (1–4 wt%) served as a multifunctional inorganic reinforcement. FTIR analysis confirmed successful esterification between citric acid and the polymer backbone, indicated …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1–10 Read article
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Engineered Hybrid Nanoclay-Infused Nano-Polymers for Multifunctional Anti-Corrosive Coatings
Abstract: Polymer nanocomposites reinforced with layered nanofillers have emerged as an effective route to enhance structural stability in protective coating applications. Polymer–clay nanocomposites also provide a promising route to enhance mechanical robustness and environmental durability in coating systems. In this study, a hybrid epoxy–polyurethane (EPU) coating was reinforced using organo-modified montmorillonite (o-MMT) and layered double hydroxide intercalated with 2-mercaptobenzothiazole (LDH–MBT). Uniform dispersion and interfacial anchoring between the nanoclays and polymer chains …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 40–53 Read article
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Magnetic Metal–Polymer Composites with Ferromagnetic Particle Networks for EMI Shielding in Flexible Electronics
Abstract: The rapid expansion of flexible and wearable electronic systems has intensified the demand for lightweight, mechanically compliant materials capable of effective electromagnetic interference (EMI) shielding. In this study, magnetic metal–polymer composites with magnetically aligned ferromagnetic particle networks were developed and systematically investigated for EMI shielding in flexible electronics. Thermoplastic polyurethane (TPU) was employed as an elastomeric polymer matrix due to its excellent flexibility, dielectric characteristics, and compatibility with particulate fillers. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 25–39 Read article
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A Brief Review on Interfaces of Copper Welded to Different Materials
Abstract: In engineering applications, three metals with high conductivity are primarily used such as copper (Cu), aluminium (Al), and silver (Ag). Each has its unique set of properties that affect specific engineering applications. Infact the choice of conductor depends on a mixture of cost, technical parameters, and environmental conditions. Among these, Copper is widely valued in engineering applications due to its antimicrobial property, excellent electrical (about 100% IACS) and thermal conductivity, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 25–36 Read article
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Reimagining Solid Waste Management in India: A case of Circular approach in C&D Waste Management
Abstract: Construction and demolition (C&D) waste, which accounts for an estimated 150–500 MT yearly and about 10–20% of the nation's total municipal solid waste (MSW) generation, is a significant management challenge for India. Accelerated urbanization, population increase, infrastructural expansion, and urban redevelopment initiatives are the main causes of this quickly expanding waste stream. Much of this waste is disposed of through uncontrolled dumping, encroachment on low-lying areas, and overcrowded landfills in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 1–10 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Outward Material Storage Area and Dispensing Activity for Packaging Material Area
Abstract: Efficient management of outward material storage and packaging material dispensing is essential for maintaining product quality, regulatory compliance, and streamlined operations in manufacturing industries. This review examines the principles, practices, and challenges associated with the design, organization, and control of outward material storage areas, with a specific focus on packaging material handling. Key aspects discussed include layout optimization, material segregation, environmental controls, documentation practices, and adherence to Good Manufacturing Practices …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 27–32 Read article
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Comparative of Encryption-Decryption Performance of (Binary, Gray- Scale, Color) Images Using Discrete Fractional Fourier Transform (DFRFT)
Abstract: The Discrete Fractional Fourier transform (DFRFT) provides an effective model of image encryption by further developing the classic Fourier transform by adding fractional orders, which increase the degrees of freedom. Owing to the omnipresence of digital media in many industries like education, healthcare, and entertainment, the mobility of visual data has become a significant issue to keep confidential. Images form one of the main ways of exchanging information and, therefore, …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 54–65 Read article
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Nano Shield-EV: Graphene and CNT-Infused Polymer Composites for Advanced EMI Shielding in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for lightweight, thermally stable, and mechanically robust electromagnetic interference (EMI) shielding materials to ensure the reliable performance of advanced electronic systems. Traditional metallic shields, though highly effective, increase vehicle weight and restrict design flexibility, thereby motivating the search for multifunctional polymer-based alternatives. In this study, NanoShield-EV introduces novel polymer nanocomposites fabricated via melt blending and compression molding, combining engineering-grade …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1036–1047 Read article
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Exploring the Intersection of Blockchain and Cybersecurity
Abstract: The digital landscape is an increasingly contested battleground, where the escalating sophistication of cyber threats consistently challenges the efficacy of traditional, centralized security architectures. Pervasive data breaches, identity theft, and vulnerabilities stemming from single points of failure underscore an urgent need for a paradigm shift in cybersecurity. This study posits that blockchain technology, with its foundational principles of decentralization, immutability, cryptographic security, and transparent distributed consensus, offers a transformative framework …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 32–42 Read article
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A Study on accelerating threat of Emerging Infectious Diseases (EIDs) and imperative for a proactive, interdisciplinary Global Health Security Framework
Abstract: Emerging Infectious Diseases (EIDs) represent one of the most critical and persistent threats to global health security in the 21st century. Driven primarily by the synergy of unprecedented human encroachment into wild habitats, climate change-induced ecological disruption, accelerated international travel, and antimicrobial resistance, the frequency and severity of zoonotic spillover events are rapidly increasing. Traditional, reactive public health measures—focused on containment after an emergence—have repeatedly proven insufficient, leading to catastrophic …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 8–21 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 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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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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A SHAP - Enhanced Voice-Based Conversational Agent for Agriculture Using BERT
Abstract: The integration of advanced artificial intelligence technologies into modern agriculture has become increasingly important for narrowing the persistent knowledge gap faced by farmers, especially in regions with limited access to expert advisory services. While state-of-the-art language models such as BERT (Bidirectional Encoder Representations from Transformers) demonstrate exceptional performance in understanding and generating natural language, their opaque “black-box” nature often limits user confidence, trust, and widespread adoption. Farmers may hesitate to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Bioinspired Nanocomposite Bone Pins: Fabrication, Evaluation, and Suitability for Orthopedic Implant Applications
Abstract: Bone tissue engineering (BTE) requires scaffolds that mimic bone’s mineral–organic composition, offering mechanical strength, bioactivity, and degradation rates compatible with regeneration. Conventional metallic implants face corrosion and toxic ion release risks, while ceramics like hydroxyapatite (HAp) are bioactive but brittle. This study reports a multifunctional hybrid scaffold combining HAp for osteoconductivity; polycaprolactone (PCL) and collagen for flexibility and biocompatibility with sodium citrate for nanoparticle dispersion, ferrocene (Fc) for catalytic bioactivity; …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 526–540 Read article
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Random Forrest Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Abstract: Advanced metering infrastructure (AMI) plays a central role in the operation of modern smart grid (SG) systems by enabling continuous, two-way communication between utility providers and consumers. Through this communication, AMI supports real-time monitoring, dynamic pricing, and efficient energy management. However, the same connectivity that makes AMI effective also increases its exposure to cyber threats. One of the most critical threats is the man-in-the-middle (MITM) attack, in which an attacker …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 1–8 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article