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1962 articles for “IDS” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Drilling Parameters Optimization in LM6/B4C/Fly ash Hybrid Composites by Taguchi Technique
Abstract: Aluminium matrix composites (AMCs) are challenging to machine due to its abrasive characteristics. Because of the broad adoption of MMCs, it is vital to create sufficient equipment to facilitate efficient manufacturing. The current study utilizes signal-to-noise ratio (S/N) analysis to determine the ideal machining parameters for drilling AMC’s. The goal with this study is to investigate the effect of feed rate (FR), drill type (D), speed (SS), reinforcing material R …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 890–897 Read article
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Investigation of Electronic Transport Characteristics of Co-Doped B40 Molecular Junction for Detection of Isoprene: A DFT Study
Abstract: The early identification of lung cancer is crucial and it can be diagnosed non-invasively by assessing the exhalation. Analysing a patient's breath profile can reveal malignant growths in their lungs. In this work, B40 co-doped with indium and iron is used as a molecular junction to sense isoprene, a well-known lung cancer biomarker present in the exhalation. The electronic transport characteristics of the molecular junction designed for isoprene detection are …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 907–916 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Muscle Computer Interface for Recovering People
Abstract: The muscle-computer interface (MCI) has emerged as a promising technology for enhancing the recovery process of individuals with paralyzed limbs or disabilities. This paper explores the application of MCI in the context of recovering people and addresses the challenges faced by such individuals. Traditional rehabilitation methods often have limitations in terms of engagement, feedback, and real-time interaction, which hinder the recovery progress. In response to these challenges, the proposed MCI …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 8–15 Read article
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The Role and Influence of Emotional Intelligence in Shaping Job Crafting: An Empirical Study
Abstract: The project titled "The Role and Influence of Emotional Intelligence in Shaping Job Crafting: An Empirical Study" explores the significant influence of Emotional Intelligence (EI) on job crafting while also examining how demographic factors impact this relationship. In today’s evolving workplace, employees are increasingly reshaping their roles to align better with their skills, values, and motivational process known as job crafting. Emotional intelligence, which includes the capacity to identify, comprehend, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 15–23 Read article
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Design Optimization of Linseed Thresher for Higher Efficiency
Abstract: Linseed, a valuable Rabi crop grown for both grain and fiber, has seen rising demand across industries, boosting interest in optimizing its production processes. Recognizing this, SVCAET and RS at IGKV Raipur conducted a study focused on improving the design and efficiency of linseed threshing technology. The research aimed to develop an optimized head cut type linseed thresher, addressing both design and performance factors. Three distinct prototypes were designed, varying …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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Comparison of a Human Papillomavirus Test with the Hybrid Capture 2 and a Real-Time PCR Method for 18 High-Risk and Low-Risk Human Papillomavirus Infections in Women
Abstract: Squamous intraepithelial lesions (SILs), which are a kind of cancer, and HUMAN papillomavirus (HPV) viral load have frequently been investigated as a risk factor in findings that were in dispute. These studies made use of several HPV viral quantitation assays [including the commercially available hybrid capture 2 (HC2) assays], which vary in their capacity to consider variations in cervical cell collection, linear dynamic range of viral load quantitation, and identified …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 10–16 Read article
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Implementing Blockchain to Enhance Security in the Pharmaceutical Industry and Combat Drug Counterfeiting
Abstract: Drug counterfeiting has emerged as a critical threat to public health, as it has enabled inferior and counterfeit drugs to flood many markets around the world thereby eroding trust in healthcare systems and patient safety. This paper seeks to address the glaring need for adequate security safeguards to curb the circulation of counterfeit drugs by proposing a blockchain model designed specifically for the pharmaceutical industries. In general, the idea of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 33–46 Read article
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AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
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Evaluation of Small Vessel Disease by Advanced Brain Imaging
Abstract: Studying and comprehending brain small vessel disease requires extensive imaging. Recent applications of cutting-edge brain imaging techniques have led to the discovery of several significant results. Diffusion-weighted MRI studies have demonstrated the diagnostic accuracy of using clinical features alone or in combination with CT scan results to identify small vessel disease as the underlying cause is suboptimal in patients with acute lacunar syndromes. Acute infarcts caused by small vessel disease …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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A Comprehensive Review of Deep Compressive Sensing for Efficient IoT Data Management
Abstract: The Internet of Things has revolutionized data-driven ecosystems and offers advanced services, such as live monitoring and automation in various domains: smart cities, healthcare, and industrial automation. However, with the exponential growth of IoT devices, comes a large amount of data generation, which poses considerable problems like network congestion, latency, and energy inefficiency. Compressive sensing (CS), one of the newest signal processing methodologies, has emerged as an enabler to meet …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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The Effect of Packaging Design Elements on Purchase Intention of Junk Food Among College Students
Abstract: This research investigates the impact of packaging design elements on the purchase intention of junk food among college students. Recognizing the influence of visual appeal on consumer behavior, particularly within young adult demographics, this study aims to identify which specific packaging elements, such as color, imagery, typography, and branding, resonate most with college students when choosing junk food. A descriptive survey method was used, targeting students in Delhi NCR, with …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 39–47 Read article
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Optimizing Image Processing with Verilog on FPGA: Techniques and Performance Enhancements
Abstract: The integration of image processing algorithms into hardware platforms, particularly FPGAs, presents a compelling opportunity for achieving high performance, low latency, and power efficiency in real-time applications. This study focuses on designing and implementing Verilog HDL-based optimal image processing methods for FPGA-based systems. The study explores the development of core algorithms, including edge detection, image enhancement, and adaptive filtering, to maximize resource utilization and processing speed on hardware platforms. Key …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 46–53 Read article
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The Role of Artificial Intelligence in Automating Incident Response in Cloud-Based Cybersecurity
Abstract: As cloud computing continues to gain traction across industries, the complexity and scale of cloud environments present significant challenges to traditional cybersecurity practices. The dynamic and distributed nature of cloud infrastructures necessitates agile and effective incident response mechanisms to detect, analyze, and mitigate threats in real-time. However, conventional incident response methods often fall short due to the growing sophistication of cyber threats and the vast amounts of data generated in …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 15–24 Read article
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A Comprehensive Review on Pharmacological Properties of Coumarins
Abstract: Coumarins are a diverse group of secondary metabolites found in a variety of plant species (over 1200 different coumarins have been identified from natural sources, especially plants), as well as in fungi and microorganisms. Coumarin is a simple, widely occurring chemical structure in nature, present in many plants, fungi, and bacteria. In recent years, these natural compounds have attracted growing interest from the scientific community due to their broad spectrum …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 12–17 Read article
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Noise-Resilient QPSK Modem for Reliable Communication for Green Communication
Abstract: The channel noise is the severely degraded the performance of communication system and that also limits the maximum data transmission rate. Hence, it is required to design a demodulator in a receiver which overcomes the effect of noise in the received signal, reconstructs un-corrupted information signal and improves data rate. In QPSK, noise effect the phase of the modulated signal and that causes error in the information signal. This study …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 36–46 Read article
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Comparative Efficacy of Hybrid Capture 2 and Real-Time PCR in Detecting High-Risk HPV Genotypes for Cervical Cancer Screening
Abstract: Human papillomavirus (HPV) infection is a leading cause of cervical cancer, making early detection critical for effective prevention and treatment. Among the diagnostic methods available, Hybrid Capture 2 (HC2) and Real-Time Polymerase Chain Reaction (PCR) are widely used for detecting high-risk HPV genotypes, particularly HPV 16 and 18, which account for the majority of cervical cancer cases. This review aims to compare the efficacy of HC2 and Real-Time PCR in …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 13–17 Read article
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Piezoelectric Energy Harvesting Using A 10x10 Sensor Matrix with Integrated Circuit Design for Pressure Control
Abstract: This project aims to create a system that generates energy using piezoelectric technology, designed as a rectangular tile platform. The platform has two layers of sensors arranged in a 10 × 10 grid, connected in a mix of series and parallel setups. The top layer acts as a surface for external forces, like footsteps, while springs connect the layers to control pressure and maximize energy generation. A rectifier ensures the …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 47–53 Read article
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article