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1248 articles for “IDS”
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Evaluation of Deformation Behavior of a Structural Pipe Bracket Under Static Loading Using Finite-Element Analysis
Abstract: This study presents a comprehensive structural integrity assessment and comparative static response analysis of an industrial support bracket subjected to varying mechanical loading conditions using the finite element method (FEM). Industrial brackets are essential load-bearing components in mechanical and structural systems, where adequate stiffness, strength, and dimensional stability are critical for ensuring operational reliability and structural safety. The primary objective of this investigation is to evaluate the influence of material …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 · pp. 1–12 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Design And Finite Element Analysis Of RCC And Timber-Composite RCC Columns with Seismic Effect
Abstract: This study presents the design and finite-element analysis (FEM) of three reinforced cement concrete (RCC) column configurations under seismic effect, with the objective of quantifying how a central Sal-timber core alters the structural performance of an otherwise conventional RCC column. All three columns are of identical external size (300 × 300 mm) and clear height 3.0 m, fixed at both ends, and use M30 concrete, Fe500 steel, 4–16 mm φ …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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Modeling Twin-Twin Twin-to-Twin Transfusion SyndromeOutcomes: A Comprehensive Review
Abstract: Twin-to-twin transfusion syndrome (TTTS) is a serious complication of monochorionic twin pregnancies, characterized by unequal blood sharing between twins through placental vascular connections. This condition can lead to significant morbidity and mortality if not identified and managed promptly. This review explores the clinical outcomes associated with TTTS, emphasizing factors that influence prognosis and the effectiveness of current treatment modalities. A comprehensive analysis of recent therapeutic interventions, including fetoscopic laser ablation …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 26–32 Read article
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Experimental Investigation of the Influence of Coarse Aggregate Size and their Proportioning on the M30 Concrete for CC Pavement
Abstract: Abstract The nominal maximum size (NMS) and proportion of coarse aggregates significantly influence the mechanical properties and performance of cement concrete pavements. While extensive research has focused on concrete mix design, the combined effect of coarse aggregate size and aggregate proportioning on the compressive strength of pavement-grade concrete remains inadequately understood. This study experimentally investigates the influence of coarse aggregate characteristics on the compressive strength of M30 grade concrete. Two …
Published in International Journal of Concrete Technology · Vol. 12, Issue 2, 2026 · pp. 13–23 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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Articulating Precarious Waters: A Critical Review of Pharmaceutical Contaminants, Their Pathways, and Ecological–Health Risks in the Aquatic Systems of Bihar, India
Abstract: The article examines the emerging yet under-documented issue of pharmaceutical contaminants in Bihar’s aquatic environment, focusing on their types, occurrence, sources, and implications for ecology and human health. Pharmaceuticals and personal care products-including antibiotics, non-steroidal anti-inflammatory drugs, analgesics, beta‑blockers, and hormones – are conceptualized as pseudo-persistent pollutants because continuous inputs from households, healthcare facilities, and diffuse anthropogenic activities sustain their presence in surface water and groundwater despite individual compounds having …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 28–51 Read article
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Combating Deepfakes and AI-Generated Misinformation: Towards a Digital Likeness and Integrity Framework for India
Abstract: The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 1–20 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 Read article
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From Colonial to Contemporary: Adaptive Reuse as a Strategy for Reviving the Cultural Heritage and Architectural Grandeur of South Bombay’s Colonial Buildings
Abstract: As the cultural, historical, and economic nucleus of British India, South Bombay’s colonial architecture embodies the city’s layered identity. However, post-independence urban expansion and rapid modernization have contributed to the neglect and demolition of many heritage structures, gradually erasing the area’s architectural legacy. This research paper investigates adaptive reuse as a sustainable strategy to revive the cultural identity and architectural grandeur of South Bombay. This study examines adaptive reuse through …
Published in International Journal of Architectural Heritage · Vol. 9, Issue 1, 2026 · pp. 18–55 Read article
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Sacred Geometry and Climate Responsiveness: Sustainable Techniques in Ancient Indian Temple Design
Abstract: This study explores the intricate relationship between climate-responsive design and sacred geometry in the construction of ancient Indian temples, emphasizing its continued significance for modern sustainable building techniques. Based on the ideas of Vaastu Shastra and Shilpa Shastra, these temples use careful geometric design, including yantras, fractal patterns, and mandalas, to maximize spatial utility and conform to cosmic order. Renowned temples, like Kailasa, Konark Sun Temple, and Brihadisvara, are prime …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 13–18 Read article
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Liquid Architecture: Cultural Narratives, Spatial Metaphors, and the Evolution of Fluid Form
Abstract: Liquid architecture represents a fundamental rethinking of architectural space, moving away from the long-standing assumption that buildings must be static, permanent, and formally fixed. Rather than understanding architecture as an object defined by rigid boundaries and stable geometry, liquid architecture proposes space as a fluid condition shaped by movement, atmosphere, perception, and cultural meaning. Rooted in cultural theory, phenomenology, and spatial anthropology, this approach views architecture as an evolving narrative …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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A Comprehensive Review of Transportation Network Design and Congestion Modeling: Methods, Challenges, and Emerging Trends
Abstract: Abstract As urbanization and travel demand continue to grow rapidly, traffic congestion has emerged as a widespread issue worldwide. The design of transportation networks and the modeling of congestion are essential disciplines that provide foundational tools for analyzing, predicting, and mitigating congestion impacts. This review complies key theories, modeling frameworks, optimization techniques, and algorithms used in network design and congestion modeling. We discuss static and dynamic models, equilibrium concepts, congestion …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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SUSTAINABLE ENERGY METER FOR NON- ESSENTIAL LOADS
Abstract: The growing demand for accurate, cost-effective, and sustainable energy monitoring solutions has accelerated advancements in smart metering, non-intrusive load monitoring (NILM), and real-time consumption analysis. This research paper consolidates and extends insights from recent developments in energy metering technologies, focusing on battery-free sensing, IoT- enabled monitoring, life-cycle sustainability, and meter performance under distorted grid conditions. Building upon prior work on non-intrusive and adaptive load monitoring, this study proposes an integrated …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 21–30 Read article
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Designing Interiors for Social Sustainability
Abstract: Interior social sustainability emphasizes the creation of spaces that actively support inclusivity, wellbeing, and community engagement while ensuring accessibility and cultural sensitivity. In the context of rapid urbanization and evolving social structures, interiors are no longer viewed as static environments but as dynamic platforms that influence human interaction and collective experiences. This research explores design strategies that maximize opportunities for social interaction, accommodate diverse user requirements, and strengthen long-term social …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 2, 2025 · pp. 27–53 Read article
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Creating Urban Memoryscapes – Using Collective Memory as a Tool for Urban Regeneration
Abstract: The rapid pace of urbanization and modernization across the globe has greatly altered the landscapes of our cities. This relentless transformation often comes at the cost of eroding the cultural, historical, and social identity of our urban spaces. Collective memory and the physical setting of urban spaces are highly interdependent of each other, as these spaces often provide a platform where the collective memory can be formed and preserved, the …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 2, 2025 · pp. 10–26 Read article
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Predicting Water Distribution Pipe Thermal Abnormalities Caused by Wildfire
Abstract: The paper covers the temperature thermal control of the water distribution system by predicting the temperature exceeding the safe level at pipes' locations and shutting off the water access to the main distribution pipe. The advantages of predictive thermal control over setting the maximum allowed temperature are provided. The prediction uses a transient heat conduction model with an error function approximation for arbitrary distance from the surface. It is provided …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 89–97 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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Fusion Interiors: Blending Global Design Trends with Local Craftsmanship
Abstract: Fusion Interior Design represents a creative and dynamic approach to creating spaces that are both harmonious and functional by blending diverse design styles, cultural influences, and historical elements. Unlike conventional interiors that adhere to a single stylistic direction, fusion interiors celebrate eclecticism while maintaining balance and coherence. This study examines the principles, strategies, and impacts of fusion design within both residential and commercial contexts. Through an analysis of case studies …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 2, 2025 · pp. 31–56 Read article