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147 articles for “Logistics”
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A Study on Site Selection Component of Model Logistics Park: A Case of Uttar Pradesh, India
Abstract: Uttar Pradesh, India’s 4th largest state and 3rd largest economy eyeing being a One trillion-dollar economy. Among the top 5 manufacturing states of India, home to the second-highest number of Micro, Small, and Medium Enterprises (organized and unorganized) in India. The National Highways Logistics Management Limited under the Ministry of Road Transport and Highways (MoRTH) and the National Highways Authority of India proposed Multi-Modal Logistics Parks (MMLPs) as an initiative …
Published in Trends in Transport Engineering and Applications Read article
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Revolutionizing Material Flow and Handling: Industry 4.0 Integration in Logistics Management
Abstract: The integration of Industry 4.0 technologies has become pivotal in reshaping material flow and handling paradigms within logistics management. This paper presents an in-depth analysis of this transformative phenomenon. Industry 4.0's emergence has heralded an era of unprecedented automation, seamless data exchange, and cutting-edge technologies, fundamentally altering conventional logistics practices. Through an extensive review of recent literature, this study meticulously examines the profound impact of Industry 4.0 on material flow …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 24–34 Read article
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Green Logistics: Driving Sustainability in Operations
Abstract: Green logistics refers to the integration of environmentally friendly practices in logistics and supply chain management. As sustainability becomes a key focus in global operations, businesses are increasingly adopting green logistics strategies to reduce environmental impact, minimize carbon emissions, and optimize resource use. This concept involves a broad range of initiatives, such as utilizing energy-efficient transportation modes, reducing packaging waste, adopting green warehousing practices, and promoting recycling and reuse throughout …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 1, 2025 · pp. 30–34 Read article
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IoT and Node MCU based Smart Logistics
Abstract: Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 38–50 Read article
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IoT Integration in Logistics Network System–A Glance
Abstract: Transportation and logistics play a most essential role in operations and supply chain management applications. As a medium, it makes it easier for people, things, and products to move from one place to another. At one stage of the supply chain, from 90% to 95% of produced goods are transported in containers. Additionally, the global consumer class is predicted to grow by 35% to 40% by 2030, increasing the demands …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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Refrigeration System Performance and Energy Optimization in Food Preservation and Cold Chain Logistics
Abstract: A vital part of the food preservation sector, refrigeration guarantees the durability, security, and quality of perishable food items in the supply chain. The food cold chain, which encompasses the refrigeration systems used during storage, transportation, and distribution, is integral to maintaining food safety and minimizing waste. However, as the global demand for food increases and sustainability concerns rise, energy consumption in refrigeration systems presents a major challenge. Efficient refrigeration …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 1, 2025 · pp. 22–29 Read article
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Real-Time Supply Chain Monitoring with Blockchain: A Decentralized Approach
Abstract: This study presents the development and implementation of a Blockchain-Enhanced Shipment Management and Tracking System (SMTS) to address key challenges in the logistics and shipping industry, such as inefficiencies, lack of transparency, security concerns, and high operational costs. Utilizing blockchain technology, particularly Hyperledger Fabric, the SMTS creates a decentralized, immutable ledger that enhances real-time shipment tracking, ensures data integrity, and improves security by reducing fraud and unauthorized tampering. Smart contracts …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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Using Machine Learning to Analyse Football Teams and Predict the Outcome of a Football Match
Abstract: Football, as one of the most popular sports on the planet, has always attracted a large number of fans. Over 150 million men and women of all ages play it in over 200 countries. Modern football has seen a paradigm shift from being just one of the most physical sports to now being one of the most complex sports due to the involvement of multiple new factors such as Home …
Published in Journal of Communication Engineering & Systems Read article
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Assessing the impact of E-business Technology on Supply Chain Management-in Context of Indian Industries
Abstract: E-business processes and internet technologies offer powerful competitive tools for higher revenues and profits in the industry. Creating an efficient supply chain network is crucial for providing affordable products with high quality, which is essential for gaining a competitive edge. Implementing e-business processes in the supply chain aims to improve overall performance by leveraging information technology advancements for easier coordination and reduced information costs. The research focuses on assessing the …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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Mobile Robotics in Healthcare: Applications of Drones and Autonomous Vehicles for Medical Supply Delivery
Abstract: This paper explores the transformative role of mobile robotics, specifically drones and autonomous vehicles, in enhancing healthcare delivery systems. As the demand for efficient medical supply logistics increases, these technologies present innovative solutions to overcome barriers in remote and underserved areas. We analyze various applications, including emergency medical deliveries, pharmaceutical transportation, and patient monitoring, highlighting the benefits of speed, cost-effectiveness, and reduced human intervention. Through case studies and experimental data, …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 33–45 Read article
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Climate Change Including Forest Fire Prediction using Machine Learning and Deep Learning
Abstract: Climate change alludes to long haul shifts in temperatures and atmospheric conditions. These movements might be regular, for example, through varieties in the sun-oriented cycle. In any case, since the 1800s, human exercises have been the fundamental driver of climate change, basically because of consuming fossil fuels like coal, oil and gas. Many individuals think climate change mostly implies hotter temperatures. Be that as it may, the temperature climb is …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Adoption of Major Improved Crop Varieties in Selected Districts of the Southwest Ethiopia Region
Abstract: Agriculture forms the backbone of the Ethiopian economy and significantly contributes to the livelihoods of the majority of the population. It remains a central pillar of food security, employment, and rural development across the country.The present study aims to examine the adoption of improved major crop varieties and to identify the key factors influencing their uptake in the southwest Ethiopia region. The research was carried out in the districts of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 18–31 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Twitter Emoticon Interpretation Using Machine Learning Algorithms in Sentiment Analysis
Abstract: In the current era, thousands of people share their opinions every day on the well-known microblogging platform Twitter in the form of tweets. A tweet must be brief and straightforward in order to be effective, though sentiment analysis of Twitter data will be the main emphasis of this study. Sentiment analysis study encompasses NLP and text data mining. We will conduct sentiment analysis on Twitter data using several logistic machine …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article