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1967 articles for “efficient” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Holographic Beam Switching and Intelligent Routing for Terahertz Space-Air-Ground Integrated Networks
Abstract: The rapid evolution of sixth-generation (6G) and beyond communication technologies necessitates highly adaptive, ultra-high-capacity, and low-latency networking frameworks capable of supporting global connectivity across terrestrial and non-terrestrial domains. This study proposes a novel holographic beam switching and intelligent routing framework for terahertz (THz) Space-Air-Ground Integrated Networks (SAGINs). The proposed architecture leverages holographic beamforming techniques to dynamically manipulate electromagnetic wavefronts, enabling precise beam steering, reduced interference, and enhanced spectral efficiency in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Development and Analysis of General-Purpose Drone
Abstract: In recent years, drones have become indispensable tools across various industries, thanks to their versatility and wide-ranging applications. The fabrication of drones is a complex process that integrates multiple engineering disciplines, including mechanical design, electrical systems, aerodynamics, and software development. The meticulous design of the drone's frame, taking into account factors such as weight, durability, and aerodynamic efficiency, marks the commencement of the fabrication process. The paper presented a comprehensive …
Published in Journal of Aerospace Engineering & Technology Read article
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Developing Food Packaging with Nanomaterials: In-Depth Examination based on Electromagnetic and Optical Radiations
Abstract: Problems with food degradation, infection, and environmental compatibility are driving constant innovation in the food packing sector. Nanomaterials (NM) are investigated as possible solutions to the problem to improve the effectiveness of food packaging by means of their exceptional optical and electromagnetic characteristics. Several factors, such as the need to analyze capacity, cost-effectiveness, and possible environmental implications, prohibit the use of NM in food packing. This review summarizes the optical …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 36–44 Read article
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Investigation to Enhance Performance of Finned U-Tube Shell-and-Tube Heat Exchangers Using Epoxy Based Polymer Composite Material
Abstract: Shell-and-tube heat exchangers remain indispensable in thermal engineering systems; however, conventional metallic configurations often face challenges related to corrosion, weight, and limited thermal optimization. In this study, a novel approach is proposed by integrating epoxy-based polymer composite materials with finned U-tube geometries to enhance thermo-hydraulic performance while addressing material limitations of traditional systems. The work focuses on the development and evaluation of a hybrid heat exchanger comprising a mild steel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 618–633 Read article
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Digitally Tunable Dual-Phase Polymer–PCM Composites for IoT-Based Adaptive Thermal Management in Smart Buildings
Abstract: This study presents the design and development of digitally tunable dual-phase polymer–phase change material (PCM) composites for advanced thermal management in smart building applications. The composite is based on a hybrid polymer matrix comprising thermoplastic polyurethane (TPU) and a crosslinked polyvinyl alcohol (PVA) gel, reinforced with paraffin microencapsulated PCM and hydrated salt PCM to achieve multi-stage thermal energy storage. The polymer composite architecture enables enhanced structural integrity, high encapsulation efficiency …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 147–157 Read article
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IoT-Based Motor Protection and Control System Using PLC and ESP8266
Abstract: Because of their straightforward design and affordable price, single-phase induction motors are frequently utilized in residential and small-scale industrial settings. However, conventional direct-on-line (DOL) control provides fixed-speed operation and offers limited protection against thermal overload and fault conditions. This article describes the design and implementation of an ESP8266 Node MCU-based PLC- based closed-loop motor control system with Internet of Things features. To increase operating flexibility and maintenance efficiency, the suggested …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 54–62 Read article
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The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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Investigation of Robotic Transverse Twin-Wire GMAW for Large-Scale Wire-Arc Additive Manufacturing Applications
Abstract: Bulk metal additive manufacturing using wire-arc processes has gained significant attention for fabricating large-scale engineering components due to their high deposition rate and material efficiency. In this study, the feasibility and performance of robotic transverse twin-wire gas metal arc welding (GMAW) for bulk wire-arc additive manufacturing (WAAM) is systematically assessed. The research focuses on understanding arc stability, weld bead characteristics, and process–product relationships under high-deposition conditions. Welding current signals from …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 · pp. 36–50 Read article
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Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Animal Gastrointestinal Tract in Animals Health
Abstract: The gastrointestinal tract's (GIT) functionality and health are essential elements that influence animal productivity. Since the management of GIT growth and health involves numerous complicated systems, it is critical to have a better understanding of these interconnections in order to create strategies for modulating GIT functioning and health in the perspective of better animal performance. Within in the animal scientific community, this term of "gut health" has sparked considerable interest. …
Published in International Journal of Animal Biotechnology and Applications Read article
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Solution to Space Debris: IDRSS
Abstract: Debris has always been a matter of great concern in the field of space sciences. All the junk that can also be referred as the remains of the space projects that may include the rockets, satellites and much more is known as debris. This junk revolves in the space after getting detached from their host bodies and hence pose a hazardous threat for the possible space missions in the future …
Published in Journal of Materials & Metallurgical Engineering Read article
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Revolutionary Journey of Herbal Shampoo for Multiple Cosmetic Applications :- An Imperative Review
Abstract: Dandruff is a common scalp ailment caused by the yeast Pityrosporum that affects the majority of people. The condition of dandruff cannot be entirely removed; rather, it can only be efficiently managed and maintained. The three most typical signs of dandruff are particles on the scalp, scalp itching, and redness near the scalp. There are two approaches to treating dandruff. These anti- dandruff shampoos include chemical-based anti-dandruff shampoos and herbal-based …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 9, Issue 2, 2022 · pp. 17–23 Read article
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Lumped Construction Sequence for Column Shortening Analysis in High Rise Building with Outrigger System
Abstract: The exact value of column shortening is not a straightforward task. Various parameters are affected on column shortening results like rate of construction sequence and reinforcement ratio. The building should stand with high stiffness and must be able to resist lateral deformation without having discomfort to the user. The excessive drift is controlled by using outrigger system. In high rise buildings, the construction sequence analysis and conventional sequence analysis are …
Published in Recent Trends in Civil Engineering & Technology Read article
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Effect of Particle Size of Sand on the Interface Shear Behavior of Sand and Non-woven Geotextile
Abstract: Soil-geosynthetic interface is the weakest zone for shear failure. It is influenced by size, shape, density and water content of sand. It is also influenced by the properties of geosynthetic such as texture and structure. This paper explores the influence of the size of sand on the behavior of sand-geotextile interface. Three types of sands namely coarse, medium and fine sand and non-woven geotextile were used in this study. Several …
Published in Journal of Geotechnical Engineering Read article
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Using Machine Learning to Analyse Football Teams and Predict the Outcome of a Football Match
Abstract: Football, as one of the most popular sports on the planet, has always attracted a large number of fans. Over 150 million men and women of all ages play it in over 200 countries. Modern football has seen a paradigm shift from being just one of the most physical sports to now being one of the most complex sports due to the involvement of multiple new factors such as Home …
Published in Journal of Communication Engineering & Systems Read article
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Evaluation of Heat Stress Exposure to Occupational Workers at Workplace
Abstract: Heat stress is considered as an occupational health hazard encountered in indoor as well as outdoor environments. In industries, many operations are carried out which involve either heat generating sources like boiler, furnace, dryers etc. or hot operations like welding, melting, glass blowing and pouring. Moreover, the extremes of temperature in summer also add to the level of exposure to heat stress. Exposure of occupational workers to heat stress can …
Published in Journal of Industrial Safety Engineering Read article