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317 articles for “conventional techniques”
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Thin Film Solar Cells: Progress in Materials, Fabrication, and Efficiency Enhancements
Abstract: Thin film solar cells (TFSCs) have drawn a lot of interest because of their potential for efficient and reasonably priced photovoltaic energy conversion. Their flexibility, low weight, and lower material consumption make them a desirable substitute for conventional solar cells made of crystalline silicon. This review explores recent advancements in TFSC technology, with a focus on materials, fabrication techniques, and efficiency improvements.Various thin-film materials, such as amorphous silicon (a-Si), perovskite, …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Development of Polymer Based SRAM Cell with Enhance Low Power Performance
Abstract: Low-power memory technologies are in high demand with the rapid growth of portable electronics and energy-efficient computing systems. Static random-access memory (SRAM) plays a crucial role in processors, cache memories, and system-on-chip applications due to their speed and reliability. Static Random Access Memory (SRAM) is typically implemented using complementary MOS (CMOS) technology, which integrates both PMOS (P-channel Metal–Oxide–Semiconductor) and NMOS (N-channel Metal–Oxide–Semiconductor) transistors. However, as technology scales to deep submicron …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1439–1448 Read article
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Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters
Abstract: In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques. This research work embarks on an exploration of the multifaceted applications of these techniques, delving into their profound impact on enhancing the functionality and efficiency of smart water meters. The convergence of artificial intelligence (AI) and machine learning (ML) algorithms with smart water meters presents a paradigm-shifting opportunity …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 66–74 Read article
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Comparison of Postoperative Nausea and Vomiting (PONV) Rates in Opioid-Free Anesthesia Protocols Versus Traditional Regimens with Varying Plane Block Techniques
Abstract: Background: Postoperative nausea and vomiting (PONV) continue to be important adverse effects that negatively influence patient recovery and satisfaction following surgery. Opioid-free anesthesia (OFA) and regional plane blocks show potential in decreasing these complications when compared with conventional opioid-based anesthesia (OBA). Objective: To compare the incidence and severity of PONV among patients receiving OFA with transversus abdominis plane (TAP) block versus OBA with TAP or erector spinae plane (ESP) blocks. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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Fast-Charging Techniques for Electric Vehicle Batteries
Abstract: EVs (Electric Vehicles) are becoming the popular mode of green transport, boosted by their efficiency, lower emission and technological vibrancy. But slow battery charging still poses one of the primary stumbling blocks to EV deployment. Conventional charging methods that take hours necessitate inconvenience and range- anxiety. To tackle this, scientists and companies are in a race to develop fast-changing technologies that can charge batteries within minutes without compromising safety. These …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 1–8 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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Overview of Recent Advancement of Nano Stent in Pharmaceutical Application
Abstract: Interventional cardiology has witnessed remarkable progress with the evolution of nanotechnology, leading to the development of nanostents. Nanostents, characterized by their nanoscale features and innovative materials, have emerged as a cutting-edge solution for addressing the limitations associated with traditional stent technologies. This thorough analysis examines the most recent developments in the design, manufacture, and use of nanostents, emphasizing how they may completely transform vascular interventions. The first section of the …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 22–43 Read article
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The Role of Mathematical Reasoning in Legal Analysis: Bridging Two Disciplines
Abstract: This research paper explores the integration of mathematical reasoning into legal analysis, emphasizing the inherent similarities between the two disciplines. Both fields rely on logical structures, such as deductive reasoning, inductive reasoning, and other formal methods of thought. By examining these parallels, the paper reveals the nascent but growing interaction between mathematics and law, uncovering how the organizational schemes that underpin mathematical principles can enhance legal argumentation, decision-making, and analysis. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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An Innovative Fuzzy-Enhanced Black Widow Spider Optimization for Energy-Efficient Cluster Communication Through the Selection of the Ideal Cluster Head
Abstract: This paper presents a novel approach to enhance energy efficiency in cluster-based wireless sensor networks (WSNs) by integrating fuzzy logic with the black widow spider optimization (BWSO) algorithm. The focus of the suggested fuzzy-enhanced BWSO approach is on cluster head selection, which is essential for lowering energy consumption and enhancing network performance. The program uses fuzzy logic to assess a number of factors, including network density, node proximity, and energy …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 28–34 Read article
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Advances in Analytical Techniques for Water Quality Assessment
Abstract: Assessing the quality of water is essential for preserving ecological balance and public health. This study evaluates new developments in analytical methods that are meant to improve the accuracy, effectiveness, and reach of water quality monitoring. While fundamental, conventional procedures like spectrophotometry and chromatography have drawbacks in terms of sensitivity and real-time capability. By allowing quick and precise pollutant and contaminant identification, emerging technologies such as sensor networks, remote sensing, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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The Power of Genetic Engineering in Revolutionizing Vaccines
Abstract: Genetic engineering techniques, including recombinant subunit, viral vector, and nucleic acid vaccines have transformed the landscape of vaccine development. These novel approaches offer precise antigen design, enhanced safety profiles, and rapid adaptability to emerging pathogens. Key advantages include improved efficacy through targeted immune responses, increased safety due to the absence of live pathogens, and the ability to modify vaccines to address new variants or diseases quickly. Notable success stories, such …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 18–27 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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Study on the Rocking Phenomenon of Parachute Rope
Abstract: With the constant development of computer technology and the development of numerical simulation techniques, the simulation of the dynamics of the parachute is becoming increasingly accurate. To eliminate the effects of large deformation of the grid in the conventional parachute simulation, we chose the parachute model using the smooth particle hydrodynamics method and performed a steady-state fluid-solid coupling numerical simulation, which is in good agreement with the calculated gas power …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Deep Cryogenic Treatment of Copper Chill Plates in Stir Casting of Al6061-Silicon Carbide Composites
Abstract: Aluminum-Silicon Carbide Metal Matrix Composites (Al/SiC MMCs) represent advanced materials created through the integration of aluminum matrices with silicon carbide particle reinforcement. These composites demonstrate superior characteristics compared to conventional aluminum alloys, establishing their relevance across diverse engineering applications. This experimental investigation focuses on developing composites using aluminum as the base matrix while incorporating SiC particles (40-50μm particle size) as reinforcing agents. The reinforcement content was systematically varied from 3 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 116–126 Read article
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E-Voting Application Using Blockchain
Abstract: Electronic voting (e-voting) is increasingly recognized as a method for improving the electoral process by enhancing security, accessibility, and efficiency. However, traditional e-voting systems present challenges, including security vulnerabilities, lack of transparency, and privacy concerns. This study presents an e-voting system powered by blockchain technology, designed to enhance decentralization, security, and protection against fraud. By leveraging blockchain’s features such as immutability, transparency, and cryptographic security, this model mitigates risks related …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 12–21 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
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Innovations and Comparative Analyses in Foam Concrete: A Review of Emerging Techniques and Materials
Abstract: Foam concrete, recognized for its lightweight and eco-friendly properties, is gaining prominence as a sustainable construction material. However, challenges such as low mechanical strength, performance variability, and limited environmental resistance have prompted significant innovations in recent years. This study synthesizes findings from three key studies focused on enhancing foam concrete’s performance through nanomaterials, natural fibers, and alternative lightweight aggregates. The incorporation of nano-silica and nano-calcium carbonate into coal gangue foam …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 Read article