Search
231 articles for “Differential”
-
Debris Flows in Mining Areas: Risk Assessment and Mitigation Strategies for Mine Waste Management
Abstract: This study investigates the dynamics and risks associated with debris flows, focusing on the differentiation between natural and mine-generated debris, particularly in storm-affected areas. Mine debris flows, frequently exacerbated by heavy rainfall and human activities, are a major concern due to their destructive potential and environmental impact. The research highlights key factors contributing to debris flow hazards, such as sediment composition, flow velocity, and terrain susceptibility. Additionally, the study explores …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
-
Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
-
TOXICOLOGY: Present-Day Difficulties for Investigating Safety Science and Target Safety Evaluation of Major Human Hepatocytes
Abstract: Preclinical toxicology has developed into a more thorough understanding of toxicity pathways from its descriptive beginnings. Technological developments have made it possible to forecast safety occurrences, mitigate adverse effects, and create safety biomarkers. Because they are able to self-renew and specialize into different types of human body cells, stem cells are currently being employed for in vitro toxicological applications. However, as compared to primary human hepatocytes, stem cell-derived HLCs perform …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
-
Winding Modification and Analysis of LVDT
Abstract: The LVDT (Linear Variable Differential Transformer) typically uses step-winding mode because it has an advantage such as simple construction and fewer layers of winding. The LVDT converts a location or linear movement from a reference standard (zero or null point) impulse with direction and distance information into a proportionate electrical field using the phase and amplitude components. To produce the output in full stroke, the core’s length must be more …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
-
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
-
Enhancing Ship Roll Stabilization: Design of Active Fin Stabilizers Using Auto-Tuned PID Controllers
Abstract: The rolling motion of any type of mechanical system can be realized by the linear differential equation with some constant coefficient. In the domain of marine industries, it is observed that the stabilization of the ship’s roll motion is required due to the occurrence of the most unwanted water wave disturbances at the sea. It may cause serious types of damage to the equipment related to the ship. Active fin …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 18–31 Read article
-
Influence of Polymeric Materials on Osseointegration and Stability of Dental Implants: An In-vivo Resonance Frequency Analysis
Abstract: Osseointegration, the successful integration of dental implants with surrounding bone tissue, is crucial for long-term implant stability. Resonance frequency analysis (RFA) provides a valuable tool for assessing implant stability. This in-vivo study investigates the potential role of polymeric materials used in dental implants, such as surface coatings or membranes, in influencing osseointegration and RFA-measured stability. By analysing the impact of these polymers on factors like cell adhesion, proliferation, and differentiation …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1051–1057 Read article
-
Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
-
Synthesis and Study of Photoluminescence properties of Sm3+ activated 7TiO2 + 3Al2O3 + (60-x)B2 O3 +xY+ 5LiCO3 +25SrCO3 Borate Glass for SSL Applications
Abstract: Melt quenching was used to successfully create the raddish orange light-emitting Sm3+activated 7TiO2 + 3Al2O3+ (60-x) B2O3+xY+ 5LiCO3+25SrCO3 (X=0.001, 0.002, 0.005, 0.01 and 0.02, Y=Sm3+) borate glass. XRD examination confirmed the phase of the prepared Un-doped and Doped 7TiO2 + 3Al2O3+ (60-x) B2O3+xY+ 5LiCO3+25SrCO3 glass. Its PL characteristics under ultraviolet (UV) light (302-468 nm) were later studied. At 602 nm, the excitation was detected, and at 402 nm, the emission. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 55–60 Read article
-
Birdwatcher’s Assistant: AI- Based Bird Species Classification
Abstract: Many bird species have gone extinct because of human activities and changes in the climate. The loss of habitats is a significant danger to global biodiversity. Therefore, it is important to monitor species distribution and identify the components of biodiversity in an area to develop conservation strategies. The ultimate objective is to build a machine learning model that can accurately differentiate between various bird species based solely on visual cues. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 17–27 Read article
-
Thermoelectric Generator Plate-based EV Charging Solutions
Abstract: The International Institute of Refrigeration estimates that air conditioning and refrigeration use 15% of the world's electricity and contribute to the emission of CO2, HCFCs, and other harmful chemicals. Global warming is one of the many negative effects of using such refrigerants on our environment. The efficiency of the car is impacted by the increased fuel consumption for air conditioning. Thermoelectric air conditioning can be utilized to solve the emission …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 1–13 Read article
-
Electromagnetic Transients in Strongly Non-Uniform Overhead High Voltage Lines
Abstract: This paper addresses the electromagnetic transients in high strongly non-uniform overhead voltage lines. For their simulation, a novel Laplace-domain approach has been introduced. The voltage and current patterns in terms of location and complex frequency are determined by a set of simultaneous algebraic and partial differential equations. To solve them numerically, an effective Mathematica code is proposed. By contrasting the outcomes of their application to multiple case studies with those …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 30–36 Read article
-
Product Life Cycle Management and Its Influence on Food Product Development
Abstract: This article examines the significance of product life cycle management (PLM) in the food industry, with a particular focus on how it affects the development of new products (NPD). This review addresses the intricacies and difficulties that food companies have in the current cutthroat industry, emphasizing the necessity of an organized approach to NPD to preserve market relevance and competitive advantage. Reviews describe the introduction, growth, maturity, and decline phases …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 2, 2024 · pp. 24–31 Read article
-
Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
-
Ensuring Data Traceability Across Multiple Cloud Environments
Abstract: This study investigates the challenges and solutions for ensuring data traceability across multiple cloud environments. With organizations' increasing reliance on cloud infrastructure, maintaining data traceability is crucial for compliance, data integrity, and secure data management. The diversity of cloud systems, spanning public, private, and hybrid models, introduces complexities in tracking data lineage, access, and movement. This study delves into multi-cloud strategies' technical and operational hurdles, such as varying data formats, …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 08–22 Read article
-
CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions.
Abstract: Analog computing techniques are gaining attention for machine learning (ML) applications due to their ability to reduce computational complexity. Continuous operations such as addition and subtraction offer a simpler and more efficient approach compared to probabilistic product decoding, which can be sensitive to noise and inconsistent measurements. This paper presents a simulated VLSI implementation of a broadcast edge connection, independent of the MOS component model, along with experimental results. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 8–17 Read article
-
A Strategy of Nano-Calcite Fillers for Enhancing the Mechanical and Thermal Properties of Polypropylene Polymers
Abstract: Particulate polymer composites have gained popularity because of their many uses. For some, using high loadings to achieve desired attributes without compromising the material's mechanical properties or restricting its processability is desirable. It is possible to use surface active agents to improve characteristics and increase solid loading. Interface characteristics in highly packed particulate composites based on nano-calcite (nano-calcium carbonate) and polypropylene as a binder are the focus of the current …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 20–29 Read article
-
Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
-
Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
-
From Rural to Urban: Understanding Taobao Villages to Redress Planetary Urbanisation
Abstract: This study examines Taobao Villages as an innovative model of urbanisation under China’s planetary urbanisation framework. These rural communities, driven by the rise of e-commerce and digital infrastructure, have successfully integrated into the broader urban ecosystem by reconfiguring their historical socio-spatial legacies. Through Lefebvre’s spatial triad framework, the research identifies three key historical legacies that underpin this transformation: (1) Collective Production Practices: Rooted in socialist collectivisation, these legacies include organisational …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article