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812 articles for “process conditions”
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Multi-Sensor System for Underwater Pothole Detection to Enhance Road Safety During Monsoon Seasons
Abstract: Monsoon seasons across India and similar tropical regions severely compromise road safety by causing water accumulation that conceals dangerous potholes beneath stagnant pools, leading to frequent vehicle damage, tire punctures, and fatal accidents. Traditional detection methods relying on smartphone accelerometers, ultrasonic sensors, or machine vision fail under flooded conditions due to acoustic signal reflection at water surfaces and optical distortions from glare and turbidity. This research proposes an innovative multi-sensor …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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The Biogenesis, Transmission, Structural and Therapeutics on SARS-CoV-2 (COVID-19) Pandemic: Challenges and Global Perspective
Abstract: The present pandemic situation due to the appearance of COVID-19 has put the world in a miserable condition. About 2.5 million people have been infected with the strain of coronavirus SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) globally. The foremost patient of COVID-19 infection was identified in China in the month of December 2019. Researchers are searching for an effective method to combat this pandemic virus. The investigations have been regulated …
Published in Research and Reviews : A Journal of Immunology · Vol. 11, Issue 1, 2021 · pp. 24–39 Read article
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Finite Element, Experimental, and Machine Learning-Based Optimization of Machining Stability for Polymer Composite Material Processing
Abstract: The machining of polymer composite materials, particularly fibre-reinforced polymer-matrix composites, requires stable spindle-tool performance to avoid delamination, fibre pull-out, matrix cracking, thermal softening, poor surface integrity, and premature tool wear. In line with the scope of the Journal of Polymer & Composites, this study presents an integrated finite element, experimental, and machine learning framework for improving machining stability during end-milling of composite material systems. The spindle-tool assembly is modelled using …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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The Multifaceted Vitamin B6: Metabolism, Cardiovascular Health, Cognition, and Cancer
Abstract: Vitamin B6 is hydrophilic and plays a crucial role in various metabolic processes. It acts as a cofactor in different enzymatic reactions. Vitamin B6 exists in various forms, including pyridoxal 5'-phosphate (PLP), the most active form. Vitamin B6 is essential for amino acid metabolism, such as PLP is essential for transamination, the process of transferring amino groups between amino acids. This is vital for synthesizing non-essential amino acids and breaking …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 2, 2025 · pp. 33–39 Read article
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Investigation of Mechanical Properties of Banana, Linen and Their Hybrid Reinforced Composite Laminates in Adverse Condition and Analyze Using ML
Abstract: This research investigates the mechanical performance of composite laminates reinforced with banana and linen fibers, focusing on both individual and hybrid fiber combinations. The primary objective is to assess how these natural fiber composites behave under extreme environmental conditions, particularly high humidity and fluctuating temperatures, which are common in aerospace and automotive applications.Key mechanical properties—tensile strength, flexural strength, and impact resistance—are experimentally evaluated to assess the performance and long-term reliability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 25–31 Read article
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A Study of Improvement of Mechanical Properties of Aluminum by Conventional Casing and Deformation Process
Abstract: Nowadays, Aluminum-Zinc alloy system are the major and rapid development in the field of automotive and aerospace industries for growing demand of efficient vehicles and aircrafts to reduce energy consumption and air pollution. Aluminum is a very soft metal by nature. Different alloying elements were added in the past to increase its strength and toughness. Zinc is considered as a major alloying element in aluminum to increase its strength and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 4, Issue 2, 2014 · pp. 16–20 Read article
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Exploration of Diverse Epoxy-Based Surface Coating Methods for Enhancing Anticorrosion Characteristics
Abstract: Epoxy-based polymers, commonly referred to as polyepoxides, constitute one of the most versatile and widely adopted categories of polymeric materials due to their exceptional structural, mechanical, and chemical characteristics. Their unique macromolecular framework enables strong interfacial bonding, high mechanical stability, and superior resistance to environmental and chemical degradation, positioning them as advanced alternatives to many traditional organic corrosion inhibitors that often fail under prolonged exposure to aggressive conditions When polyepoxides …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 167–177 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Binary GA for Sidelobe Reduction and Null Steering in 5G Array
Abstract: This paper presents a comprehensive performance evaluation of a Binary Genetic Algorithm (BGA) for optimizing radiation characteristics of an active phased array antenna used in fifth-generation (5G) wireless communication systems. The primary objective is to achieve effective null steering while maintaining the desired main beam direction and simultaneously reducing the side lobe level (SLL). These improvements are essential for minimizing co-channel interference, enhancing spatial selectivity, and improving the Signal-to-Interference-plus-Noise Ratio …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 2, 2026 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 Read article
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The Mycobiome Frontier – Pre & Post 2020 Status: Integrating Fungal Bioactive Compounds, Probiotics, and Antimicrobial Peptides in Modern Therapeutics and Biotechnology.
Abstract: The fungal kingdom represents an indispensable resource in modern therapeutics and biotechnology, offering a diverse array of bioactive compounds, probiotics, and antimicrobial peptides (AMPs). Functional fungal polysaccharides (FFPs), such as beta-glucans, chitin, and mannans, are centrally involved in modulating the human gut microbiota, providing novel therapeutic avenues for chronic conditions including diabetes, neurodegenerative disorders, and cancer. These compounds act as prebiotics, nourishing beneficial bacteria and enhancing metabolic parameters such as …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
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Optimization of Machining Process Parameters in Hard Turning of AISI D3 Tool Steel
Abstract: Machining operation is still irrefutably vital process in manufacturing, that involves complex relation of input parameters (like cutting speed, feed rate, depth of cut, nature of cooling, etc.) to output parameters (like surface finish, tool life, tool wear, machining time, machining cost, etc.). Numerous efforts were noticed in literature, to relate these parameters with each other so as to implement cost effective machining with least efforts. This paper presents one …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 1, 2017 · pp. 23–30 Read article
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Automatic Laser Propulsion Using Binary Mask
Abstract: In the mask propulsion, excimer laser micromachining using binary propulsion has been implemented for flash patterning of a monomicrometer features over wide areas of various substrates. The limit for depth of focus that determines the depth to width front ratios is given and demonstrated for different materials. Binary mask propulsion technique is found to harmonize to reproduce the mask features from the millimeter to the micrometer scale under peculiar focusing …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 29–36 Read article
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Benefits of Use of Microalgae in Spacecraft
Abstract: In this time of modern science and technology, we need sustainable development, so that we can meet the demand of future generations as well as the present generation. For this reason, scientists are trying to develop such products which have a considerable remark on every research. Consuming algae as a human food became popular over 70 years after it was discovered in 1942. This concept was first implemented in spacecraft …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 08–12 Read article
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Mathematical Modeling of Tumor Growth and Immune System Interaction Incorporating Time Delays and Suppression Effects for Tumor Control
Abstract: Cancer growth is a complex biological process influenced by various factors, including the dynamic interaction between tumor cells and the host immune system. Mathematical modeling serves as a powerful tool to understand these interactions and predict the outcomes of different therapeutic strategies. This study presents a mathematical framework that captures the essential dynamics of tumor-immune interactions, specifically incorporating the effects of time delay and immune suppression mechanisms. Time delay accounts …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 · pp. 25–34 Read article
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Sustainable Polymer-Based Cementitious Composites with Granite Dust as Fine Aggregate: Strength and Durability Evaluation
Abstract: This study investigates the potential for creating a new kind of cementitious composites that is obtained through the different compositions of rocks and chemicals in which granite dust that is helpful in resistance of chloride penetration and heat of hydration as a substitution with sand in composite. The primary goal of this study focuses on the effect of the stone waste like polymer matrix on evidence bases of researches for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 325–339 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Land surface dynamics: A Multiphysics Approach to Modeling Mass Transport
Abstract: Land surface dynamics are governed by complex interactions among hydrological, atmospheric, and geomorphological processes that collectively drive the transport of mass across terrestrial environments. Traditional modeling approaches often isolate individual mechanisms, limiting their ability to capture the coupled feedbacks that shape landscape evolution. This study presents a multiphysics framework for modeling mass transport on land surfaces, integrating fluid flow, sediment transport, heat exchange, and chemical reactions within a unified computational …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 31–36 Read article
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Effect of Mould Cavity Thickness on Cooling Rate of Aluminium with Temperature Dependent Properties
Abstract: Solidification study of aluminium with temperature dependent thermal properties has been conducted. Effect of the mould cavity wall thickness on the cooling rate has been the target in the present work. Casting is earliest metal shaping process and has been used in many industries and households. Solidification during casting is the most crucial event which has been studied by the many researchers because it affects the quality of the casting …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 3, Issue 1, 2016 · pp. 31–35 Read article