Search
260 articles for “Data Pre-processing”
-
FROM CLOUD TO EDGE – THE COMPREHENSIVE IMPACT OF EDGE AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how Edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology.Autonomous driving, smart cities, healthcare …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 Read article
-
Building a Secure IoT Ecosystem with TRNGs and VHDL
Abstract: Internet of Things (IoT), which links billions of devices and produces enormous volumes of data, is growing quickly. Although this interconnection offers previously unheard-of potential, it also poses a serious security risk. Robust cryptographic solutions are necessary to protect sensitive IoT data from malevolent actors, and True Random Number Generator(TRNG) is a dependable source of randomness at the core of these solutions. Despite their efficiency, traditional pseudo- random number generators(PRNGs) …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
-
CFD Analysis and Prediction of Shockwave/Boundary-Layer Interaction at Hypersonic Flows Using RANS Models
Abstract: Interaction of shockwaves with turbulent boundary layer plays an important role in the design and operability of high-speed aerospace vehicles and air-breathing engines. The adverse pressure gradient of the shock is often strong enough to separate the boundary layer. The objective of the present research paper deals with the analysis of hypersonic viscous flows dominated by strong shockwave/boundary-layer interactions (SWBLI) over wing-flap and wing-fuselage junction configurations. The effects of the …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 2, 2019 · pp. 33–50 Read article
-
From Cloud to Edge–The Comprehensive Impact ofEdge AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence (AI) can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology. Autonomous driving, smart …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 1–13 Read article
-
Studies on the Kinetics of Thermal Decomposition of Copper Oxalate Mixed With Silver Oxalate
Abstract: The coprecipitates, Ag2Cu(C2O4)nH2O of varying composition [Ag = (1 and 2)%], have been synthesized and were characterized by means of IR, XRD, and SEM. The decomposition of the prepared oxalates was monitored by differential scanning calorimetry (DSC) and thermogravimetry (TG). The DSC studies reveal that the decompositions of the mixed oxalates were all complex exothermic processes with resemblance to the exothermic reaction of copper oxalate and ranges from 540 to …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 2, Issue 1, 2016 · pp. 1–11 Read article
-
Legal Ease: An End-to-End Automated Legal Document Processing System Using LLMs and OCR
Abstract: This paper describes an automated legal document processing system that uses modern technologies, such as Large Language Models (LLMs) and Optical Character Recognition (OCR). Designed to streamline legal procedures, the system allows users to submit legal documents in PDF format and uses Tesseract-powered OCR to extract and digitize text while keeping the document’s layout and structure. The digitized text is processed by an LLM that has been fine-tuned using legal …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 29–32 Read article
-
A Study to Assess the Effectiveness of Structured Teaching Programme on Knowledge Regarding Newborn Resuscitation among Staff Nurses in Selected Hospital
Abstract: A study to assess the effectiveness of structured teaching programme on knowledge regarding newborn resuscitation among staff nurses in selected hospital. The objective of the study was to assess the level of knowledge on neonatal resuscitation among staff nurses. To assess the effectiveness of structured teaching programme on neonatal resuscitation among staff nurses. To determine the association between level of knowledge on neonatal resuscitation among staff nurses with their selected …
Published in International Journal of Pediatric Nursing · Vol. 4, Issue 2, 2018 · pp. 28–41 Read article
-
Technical Insights into the Industrial Synthesis and Production of Ten Prominent Plant Growth Regulator Molecules: Process Flow and Mass Balance Determination
Abstract: Plant Growth Regulators (PGPRs) are indispensable tools in modern agriculture, offering precise control over various aspects of plant development and enhancing crop productivity. While their diverse applications are widely recognized, detailed technical insights into their industrial manufacturing processes, including synthesis routes, process flow, and mass balance, are often limited. This manuscript addresses this gap by presenting a comprehensive technical analysis of the industrial synthesis and production of ten prominent PGPR …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 2, 2025 Read article
-
Smart Battery Management System with Real-Time Estimation of SOC and SOH
Abstract: To make batteries in electric vehicles and energy storage systems last longer, work better, and be safer, they need a Smart Battery Management System (BMS). The main goal of this project is to find out the battery's State of Charge (SOC) and State of Health (SOH) right away. SOC reflects the remaining usable capacity of the battery, while SOH indicates the overall condition and degree of aging of the battery. …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
-
Retrofitting Coaching Centers into Commercial Spaces
Abstract: The rapid expansion of the private education sector in India, particularly in the post-1991 era, hascreated a plethora of investment opportunities. One notable segment within this sector is the coachingindustry, which has witnessed remarkable growth, transforming from small-scale individual tuitioncenters to large-scale coaching companies. The proliferation of private tutoring centers across thecountry, even in smaller cities, has sparked a significant debate about their role and impact on theformal education system. …
Published in International Journal of Sustainable Building Technology · Vol. 7, Issue 2, 2024 · pp. 22–31 Read article
-
Response Surface Methodology in the Optimization of Biodiesel Production from Palm Kernel Oil and Cellobiose by Acid Catalysis in Non-solvent Medium
Abstract: Cellobiose, rich in hydroxyl (OH) functional groups was used in a solventless transesterification process with Palm Kernel Oil (PKO) to produce high-quality biodiesel and glycerol. Response Surface Methodology (RSM) was used to examine the effect of reaction temperature, catalyst concentration, reaction time, and cellobiose: oil ratio to optimize the process parameters for highpurity and yield of consequent biodiesel. The process was an acid-catalyzed transesterification reacton of Palm Kernel Oil and …
Published in International Journal of Green Chemistry · Vol. 9, Issue 1, 2023 · pp. 1–22 Read article
-
Predicting the Team Based on Player Performance and Formation in Sports Match by Machine Learning Approach
Abstract: In the field of sports evaluation of player performance and predicting the weight of the player for the formation of a well efficient team is very important. The main aim is to pick the best squad from all the available players. This will help to decide which team of players is the best to play against a particular opponent, perform prediction of the performance of the players in future matches …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
-
A QUASI EXPERIMENTAL STUDY TO EVALUATE THE EFFECTIVENESS OF LAUGHTER YOGA IN REDUCING DEPRESSION AMONG ELDERLY PEOPLE (ABOVE 60 YEARS) IN SELECTED VILLAGES OF LUDHIANA, PUNJAB.
Abstract: The present study was conducted to evaluate the effectiveness of laughter yoga in reducingdepression among elderly people (above 60 Years) in the selected villages of Ludhiana, Punjab.The motivation behind the study is to evaluate the viability of chuckling yoga among theburdensome elderly persons in order to reduce the level of depression and enhance the quality oflife. Conceptual framework was based on Wiedenbach’s Conceptualization of Nursing Practiceand Process Methodology: A quantitative …
Published in International Journal of Geriatric Nursing · Vol. 5, Issue 1, 2022 · pp. 8–15 Read article
-
A Quasi-experimental Study to Assess the Effectiveness of Cognitive Stimulation Therapy on Cognition among the Institutionalized Elderly in Selected Old Age Homes at Madurai
Abstract: Background of the Study: The aging population is increasing significantly in the world. Therefore,world population is expected to be comprised of progressively bigger proportion of elderlyindividuals. Human aging is an inevitable process and, as such, implies a process of transformationand progressive change in biological, psychological and social structure. The cognitive functionbegins to deteriorate with advancing age and there are common consequences to variouspsychological and social aspects, such as the loss …
Published in International Journal of Geriatric Nursing · Vol. 4, Issue 2, 2021 · pp. 12–21 Read article
-
Virgin-Recycled Thermoplastic Matrix Systems as Engineered Composite Materials: A Compositional Framework for Mechanical Property Retention in Secondary Polymer Supply Chains
Abstract: Virgin-to-recycled thermoplastic resin blends, while conventionally treated as simple two- component mixtures in secondary polymer supply chains, exhibit compositional and morphological characteristics that are more accurately described using the framework of engineered composite matrix systems. This paper presents a compositional framework for understanding and predicting mechanical property retention in virgin-recycled polypropylene (PP) and high-density polyethylene (HDPE) matrix systems, developed through more than twenty years of commercial secondary polymer distribution practice …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 Read article
-
Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
-
Review of Automotive Transmissions for Adapting Digital Display Technology
Abstract: ABSTRACTDigitizing the systems and processes to get in line with the era of Industry 4.0 has become a paramount situation demanding efforts in the direction. This epoch of changing technology has caused many industries to suffer backlog. The other industries with survival instinct bank upon different tools like IoT, digitization, digitalization, artificial intelligence, etc., to name few to pave their way on the roadmap of Industry 4.0. The automotive industry …
Published in International Journal of Microwave Engineering and Technology · Vol. 6, Issue 2, 2020 · pp. 7–17 Read article
-
Application of Artificial Neuron Network in roughness prediction: A case study in turning of stainless steel
Abstract: - Artificial neural networks offer a practical and efficient way to choose the best machining parameters for the turning process in order to reduce surface roughness, the resulting cutting forces, and maximize tool life. Surface roughness is a significant aspect in the evaluation of cutting performance and plays a significant role in the manufacturing process. The goal of this project is to create a model based on an Artificial Neural …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 21–26 Read article
-
Advances in Applied Chemistry: From Electrochemical Biosensors and Gas Sensing to Sustainable Remediation and Nanofluid Engineering
Abstract: Applied chemistry acts as a crucial link between fundamental molecular science and practical technological innovation. It transforms theoretical knowledge into real-world applications that address challenges in healthcare, environment, and industry. This review highlights recent advancements in electrochemical biosensors, which offer rapid and sensitive diagnostic capabilities, along with modern gas detection technologies designed for improved safety and environmental monitoring. Significant attention is given to environmental remediation, particularly the use of activated …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
-
Software Contributions to Analytical Instruments
Abstract: Laboratory instruments used in the analysis of the sample or preparation of raw materials are crucial in research and business. Such features as accurately measured values and data coverage. The coordination between software and these instruments has changed their roles, gaining flexibility, accuracy and efficiency of work. This paper aims to outline the various roles of software in the analytical process. Instruments, describing the progress in data obtaining, analysis, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article