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1924 articles for “Mu” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Privacy-preserving Multi-keyword Search in Multi-owner Setting Using Blockchain
Abstract: Searchable encryption (SE) has become an essential cryptographic technique, allowing users to securely search through encrypted data. However, most existing SE schemes rely on a single intermediary, such as a cloud server, leading to potential single-point failures, privacy breaches, and untrustworthy results. Many blockchain-based SE schemes have been proposed to address these issues. However, they frequently encounter difficulties such as supporting a multi-keyword, multi-owner model, ensuring query privacy, and maintaining …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 12–18 Read article
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Simulation and Analysis of Battery Pack Using the Multi Scale Multi-Domain Battery Model
Abstract: The creation of sophisticated simulation models has been made necessary by the need for reliable and effective battery packs in energy storage systems and electric vehicles. This study focuses on the simulation and analysis of battery packs using a multi-scale multi-domain battery model. The model enables a thorough knowledge of battery pack behavior across a range of operating situations by integrating the electricity, thermal, and mechanical domains. Multi-scale modeling bridges …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 31–46 Read article
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Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
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A Low-Cost Multi-Sensor IoT System for Real-Time Segregation of Polymer Waste
Abstract: Segregation of solid waste is a critical aspect of waste management, especially in settings where technical and financial constraints limit the adoption of sophisticated technologies. The proposed low cost, sensor-driven smart waste sorting system combines a variety of sensing technologies with an integrated decision-making system. The system employs an inductive sensor, moisture sensor and capacitive sensor to measure the physical properties of waste items, allowing segregation into metal, wet and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 90–`107 Read article
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An Investigative Study of Quantum-safe Secure Multi-party Computation
Abstract: This article represents the comprehensive investigation in the emerging field of quantum-safe secure multi-party computation (QSSMPC) and presents novel perspectives to address the impending threat posed by quantum computers to classical cryptographic systems. As the era of quantum computing approaches, traditional encryption methods become vulnerable to quantum algorithms, necessitating the development of quantum-resistant cryptographic protocols. In this context, the paper introduces innovative approaches to secure multi-party computation in a quantum-safe …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 39–44 Read article
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Versatile Use of the Local Muscle Flaps Pedicled by Gastrocnemius and Hemisoleus Muscle with a Longer Reach for Coverage of Lower Extremity Defects
Abstract: Purpose: This study aims to highlight the clinical usefulness of multiple local muscle flaps pedicled on the gastrocnemius and hemisoleus muscles for managing soft-tissue defects of the lower extremity. The technique was applied to defects involving the distal femur and the distal one-third of the tibia, avoiding the need for free flap reconstruction. Methods: From January 2014 to January 2023, multiple local muscle flaps were planned and utilized for the …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 Read article
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and GPU-based architectures without centralizing sensitive data. This work proposes a parallel Adaptive Federated Learning (AFL) framework that integrates Differential Privacy and Secure Aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, and aggregation weights …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Multi-Screen Interface Applications in Graphical User Interface for Ornamental Efficiency in Computer Programming
Abstract: Use of multi-screen interfaces for graphical user interfaces (GUIs) has transformed the way we do computer programming by improving the speed, efficiency and usability. Also, these interfaces help programmers multitask easily by decoupling the different functionalities, code debugging, and data visualization in real-time through multiple terminals which cuts down context switching, thus maintaining workflow organization. Multi-screen GUI applications enable developers to organize their workspace and work efficiently, with customized or …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 27–31 Read article
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Influence of Folk Music on Sufi Music
Abstract: Sufi music, with its deep spiritual resonance and emphasis on divine love, has been profoundly shaped by various folk music traditions across different regions. This abstract explores the multifaceted influence of folk music on Sufi musical forms, highlighting how indigenous melodies, rhythms, and instrumentation have enriched and diversified its expressive palette. Folk music’s inherent simplicity, directness, and often communal nature provided a fertile ground for Sufi mystics to convey complex …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 10–14 Read article
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Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems
Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 Read article
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Key Generation Algorithms Using Difference Equations with Multi-Precision Arithmetic: A Review
Abstract: Modern cryptographic systems rely on robust key generation to secure data and communication. This review explores the integration of difference equations and multi-precision arithmetic for cryptographic key generation, addressing limitations in traditional methods like pseudorandom number generators and chaotic systems. Difference equations produce deterministic yet chaotic sequences ideal for cryptography due to their sensitivity to initial conditions and nonlinearity. However, finite precision arithmetic can lead to periodicity and loss of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 23–36 Read article
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Robust Design of Subsonic Airfoil by Multi-Objective Six Sigma Approach
Abstract: It is well known that aerodynamic performance of a UAV is very sensitive to the wing shape and flight conditions, and inevitable uncertainties such as wing manufacturing errors and wind variations may lead to drastic deterioration in its aerodynamic performance. In the UAV wing design, therefore, it is required not to use the conventional design optimization approach considering only optimality of performance at the design point, but to use the …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 14–23 Read article
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Effect of Red Mud Loading on the Thermal and Mechanical Performance of Polypropylene Composites
Abstract: Waste red mud (RM) serves as a low-cost and sustainable filler material in a polypropylene (PP) matrix. This study investigate the effects of different red mud contents on the dynamic mechanical and thermal properties of polypropylene-red mud (RM-PP) composites where red mud levels range from 0% to 40% (based on weight percentage). Fourier Transform Infrared Spectroscopy (FTIR) was conducted for verifying the presence of both polypropylene and red mud in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 161–169 Read article
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Generative Design of Bioactive Orthopedic Composites for Fracture Repair Using an Integrated Conditional GAN–Transformer Framework: A Multi-Objective Approach
Abstract: Orthopedic composite implants for fracture repair must simultaneously satisfy conflicting mechanical and biological demands: high fracture toughness, sufficient compressive stiffness, and bioactive surface chemistry enabling osteoblast adhesion and mineralization. Existing design approaches rely on trial-and-error experimentation, yielding sub-optimal trade-offs between these objectives. This paper presents an integrated conditional Generative Adversarial Network–Transformer (cGAN-T) framework for fully computational, multi-objective generative design of hydroxyapatite (HA)-reinforced polymer composite microstructures targeting Orthopedic fracture repair. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 21–35 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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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
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Design and Fabrication of Multi-operation Vegetable Cutting & Slicing Machine
Abstract: The purpose of this gadget is to reduce human effort and make the task of cutting and slicing vegetables considerably easier and faster. Its key characteristics are that it is totally automated, portable, uses less power, and has replaceable stainless, sharp blades. The machine consist of a reciprocating piston arrangement which works is chopping the vegetable and on other hand we constructed a rotating slicer for slicing purpose. A disciplined …
Published in Trends in Machine design Read article
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Investigation of microstructure and mechanical properties of multi-pass friction stir processing on precipitation hardened aluminum alloy
Abstract: In the present study, multi-pass friction stir processing of aluminum AA2014-T651 alloy is per-formed with one and four passes. The multi-pass processing is performed at a tool rotational speed of 1000 rpm with a traverse speed of 63 mm/min. Microstructural characterization of fric-tion stir processed specimens indicated a significant grain refinement with equiaxed grains in the four pass specimen. Microhardness and tensile strength of the multi-pass specimen decreases with the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 339–349 Read article
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A Comprehensive Review: Effectiveness Of Multi-Sensory Learning Strategies for Learning Disability Students
Abstract: A person's ability to learn new things can be severely hampered by a range of neurodevelopmental diseases known as difficulties with learning. Multisensory learning is an instructional strategy that offers learners multiple ways to perceive information through different sensory signals. The purpose of this review is to assess how learning disabilities, Dyslexia, Dysgraphia, and Dyscalculia can be treated with a multisensory learning approach. A thorough evaluation of past papers published …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article