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1006 articles for “conventional”
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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Performance and Exergy Loss Analysis for a Single Slope Solar Still Using PMMA
Abstract: A solar still constructed using polymethyl methacrylate (PMMA) represents an improved approach to solar desalination, in which conventional materials such as metal or concrete are substituted or reinforced with PMMA- based composites PMMA sheets are often used as the transparent glazing cover of the solar still instead of glass. It allows maximum solar radiation to pass into the basin, heating the saline/brackish water effectively. A tubular solar still made from …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 799–807 Read article
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Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Design and Development of Lightweight Polymer Composite Manifold Using CF-ABS and GFRP for Aerodynamic Energy Recovery in Electric Vehicles
Abstract: Electric vehicles provide a number of advantages over conventional fuel vehicles due to their low to no emissions. High energy efficiency improves the driving performance of Electric vehicles. However, they have to face certain challenges such as the high purchase cost of batteries and lack of battery charging facilities. The major drawback of an Electric vehicle is to store sufficient energy to run the vehicle for a long time. This …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Metamaterial-Based Thermal Shielding Structures for Reusable Hypersonic Space Transportation Systems
Abstract: The rapid development of reusable hypersonic space transportation systems has intensified the need for advanced thermal protection technologies capable of withstanding extreme aerodynamic heating conditions encountered during atmospheric re-entry and sustained hypersonic flight. Conventional thermal shielding materials often suffer from high structural weight, limited adaptability, thermal fatigue, and degradation under repeated thermal cycling. This study proposes a novel Metamaterial-Based Thermal Shielding Structure for Reusable Hypersonic Space Transportation Systems, integrating engineered …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Cardanol Glycidyl Ether in Advanced Materials: Recent Progress, Synthetic Strategies, and Future Perspectives
Abstract: Cardanol glycidyl ether (CGE), a bio-based precursor and epoxy derived product has been emerged as a promising sustainable alternative to conventional petroleum-based epoxy materials. Due to the presence of a phenolic hydroxyl group and an unsaturated aliphatic side chain, cardanol can be effectively undergoes glycidylation to produce reactive epoxy monomers that has excellent flexibility, hydrophobicity, low viscosity, and notably good chemical resistance. In recent years, CGE-based systems have attracted remarkable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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IR Laser Virtual Keyword: A Review Paper
Abstract: Technology is evolving at an unprecedented pace, becoming faster, more compact, lightweight, and efficient. Continuous advancements in electronics, communication systems, and embedded technologies have led to the development of innovative devices that enhance convenience and improve user interaction with digital systems. One such innovation is the laser projection keyboard, a virtual input device that eliminates the need for a traditional physical keyboard. By projecting a full-sized keyboard onto any flat …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
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Antidiabetic Potential of Bryophyllum pinnatum: A Study on its Pharmacological Effects and Synergistic Action with Glibenclamide
Abstract: Diabetes is a long-term metabolic disorder that profoundly impacts an individual’s overall health, social interactions, and quality of life. While significant progress has been made in diabetes management with the use of medications such as insulin and oral hypoglycemic agents, the limitations of these existing treatments highlight the need for new therapeutic alternatives. Moreover, the high cost of current diabetes medications makes them inaccessible to many, particularly in rural areas …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 2, 2025 · pp. 18–30 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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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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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Import Substitute for Production of Ultrapure Water by Membrane Integrated Process for Medical and Biotechnological Applications
Abstract: The present invention discloses an inexpensive import substitute compact design of low-cost membrane process for the production of ultrapure water for dialysis and medical applications in different fields like pathological laboratories, biochemical analysis, sterilization and sanitation, dental and optical lens cleansers. The ultrapure water of demineralization (DM) process is related to the cascaded high- flux and high-selective membrane system for hyper permeation which is operated under the pressure of 3-7 …
Published in Research and Reviews : A Journal of Biotechnology Read article
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Unani System of Medicine in Dentistry–A Review
Abstract: The dental afflictions are indubitably the most important global infectious diseases. Herbal medicines along with the extracts from the plants together are used for orofacial ailments since the time immemorial. Disease management in any discipline whatsoever rests on proper diagnosis, which in turn is dependent upon assiduous observation of the patient's complaint and temperament. Unani medicine is no exception; ergo, is looked upon as a welcome pragmatic chemotherapeutic approach. The …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy Read article
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Analytical Study of Concrete-encased Steel Column Building against Blast Load
Abstract: Study of behavior of composite building with Concrete-Encased Steel (CES) columns for blast loading is done. This is compared with the behavior of conventional building having reinforced concrete (RC) columns. In the following study, both composite and RC buildings are subjected to 0.1 ton, 0.3 ton and 0.5 ton TNT equivalent charge weight of blast load with a standoff distance of 20 m, 30 m and 40 m. To study …
Published in Journal of Structural Engineering and Management Read article
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Additive Manufacturing of Rocket Propulsion System: A Review
Abstract: In recent years plenty of research is going on to produce effective manufacturing techniques which can produce complex unique designs with reduced cost and lead time for aerospace applications. In this aspect, Additive manufacturing is getting a wide range of popularity in the aerospace manufacturing domain due to its vast applications and advantages. In terms of geometric flexibility and processing time, additive manufacturing outperforms conventional manufacturing processes. Additive manufacturing has …
Published in Journal of Materials & Metallurgical Engineering Read article