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1913 articles for “processing time” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Investigating the Role of Moisture in the Physical Properties of Harra (Terminalia chebula) Fruit
Abstract: Harra (Terminalia chebula) is known as the “king of medicines” in Ayurveda. Its fruits include astringent, purgative, antibacterial, antifungal, and laxative effects. The behavior of harra fruit is mainly dependent on the moisture present. It affects the harvest, post-harvest machinery, separation, packaging, and transportation of harra fruit. This study focused on T’s physical qualities of chebula fresh fruit at 20%–25% (wb) moisture content, such as 50 fruit mass, length, width, …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 1, 2025 · pp. 11–19 Read article
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Design, Development, and Optimization of Autonomous Robots for Enhanced Performance
Abstract: Autonomous robots are transforming industries by executing complex tasks with minimal human intervention, improving efficiency, precision, and adaptability across various domains such as manufacturing, healthcare, logistics, and exploration. Their performance relies on a synergy of robust hardware design, intelligent control mechanisms, and advanced optimization techniques. This paper explores the key components of autonomous robots, including sensor integration, locomotion systems, control architectures, and decision-making frameworks that enable autonomous operation in dynamic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 22–30 Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 Read article
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Critical Review of Impact of UNIX in Development of Military Computing Paradigms
Abstract: The evolution of military computing systems has been profoundly influenced by the integration and continuous advancement of UNIX operating systems since their inception in the early 1970s. This paper presents a comprehensive review of the pivotal role UNIX has played in shaping the foundational architecture of modern military computing—spanning areas such as command-and-control infrastructures, real-time data processing, mission-critical software, and cybersecurity protocols. By tracing the historical development and technical progression …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 08–16 Read article
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Development of a Low-Cost Autonomous Robot for Obstacle Avoidance Using Ultrasonic Sensing
Abstract: In the evolving landscape of automation, autonomous mobile robots are becoming critical for performing tasks with minimal human intervention. This project presents the design and development of a cost-effective, small-scale obstacle-avoiding robot using an Arduino microcontroller and an ultrasonic sensor. The robot operates by scanning its surroundings, identifying nearby obstacles, and navigating by altering its path in real time. Through intelligent programming and sensor integration, the system achieves smooth, collision-free …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article
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How Scientists Look for New Pathogens Before They Spread
Abstract: Emerging infectious illnesses are a persistent danger to global health. They often come from unexpected places, such wildlife reservoirs, changes in the climate, or human activities. Finding new diseases before they create epidemics is one of the biggest problems in modern epidemiology. This article talks about how scientists use genetic monitoring, field sampling, and real-time data processing to find, track, and describe new infectious organisms in a way that works …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 11–17 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Overview of Face Detection and Expression Recognition by LBPH
Abstract: This paper gives an overview of facial expression recognition and face detection by LBPH technique, in this work facial expression will identify basic human expressions such as happy, disgust, anger, neutral, sadand surprise. To specify the visual pattern and its various aspects, we employ vector for face identification a local binary pattern histogram (LBPH) and a Haar-cascade classifier are utilized. This paper will explain about face detection and expression recognition …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 2, 2023 · pp. 12–17 Read article
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Effects of Oil Extraction Methods on Bio-diesel Production from Wild Grape Seeds: A Case Study of Soxhlet Extraction and Mechanical Press Engine Driven Expeller Methods
Abstract: In this research, two samples of wild grape seeds (Lannea Microcarpa) were used to produce biodiesel. The first sample was washed; dried and powdered, oil was extracted from the sample using soxhlet extraction method with n-hexane as solvent. The second sample was washed and dried, oil was extracted from the sample using mechanical press engine driven expeller. The oil yield from the first method was 33.3% while the oil yield …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 6, Issue 1, 2015 · pp. 35–40 Read article
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Human Behaviour Anomaly Tracking System for Metro Railways
Abstract: Increasing suicidal attempts at metro railway stations (underground railways) in today’s world is a very serious matter of concern. The aim of this idea is to utilize the advancement of technology for saving precious human lives. An intelligent system can be designed which uses real time Image Processing/Computer Vision/Deep Learning to reduce suicidal attempts and unusual behaviour (viz. planning for sabotage etc.) at underground Metro Station. The vision system constantly …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 1, 2019 · pp. 12–15 Read article
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Past, Present and Future of FNB Mould System
Abstract: This review paper is dealing types of binders used in foundry industries. The different binders have advantages and limitations. This paper gives direction on selection of binder system in different metals. This mainly focuses on selection, advantages and limitations in motor body castings. The data was collected from Krislur Castomech Pvt. Ltd., Chitra G.I.D.C., Bhavnagar. The binder system improves productivity of foundry industries by reducing process cycle time. FNB system …
Published in Journal of Materials & Metallurgical Engineering · Vol. 8, Issue 1, 2018 · pp. 10–16 Read article
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Reduction of Shrinkage-Porosity Defects in Sand Casting Using Finite Element Analysis: A Review
Abstract: Today production of casting is easy but market requirement is quality casting. Earlier casting is made with large no. of defects due to large no. of process parameter in casting process. Specially, to predict phase transformation is very critical. As the problem of automation in process, shortage of skill labour now a days; casting simulation requirement is high and it is identifies defects earlier without making actual casting. This process …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 1, 2016 · pp. 1–5 Read article
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Parallel Conwip for a High-mix Multi-stage Production System with the entrance of rework
Abstract: In a complex production environment, more than one type of pull systems is often used to regulate the processesof different products. In literature, performance studies appertaining to multiple pull systems co-existed in aproduction environment are rare. The present paper evaluates the performances of parallel CONWIP (PC)systems in a high-mix production system with the entrance of rework. The production comprises three stages ofshared-machine facilities. Reject parts produced by the first stage …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 21–44 Read article
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Digital Twin-Driven Structural Health Monitoring and Energy Management of IoT-Enabled Energy-Storing Polymer Composites Using Explainable Machine Learning
Abstract: Energy storing polymer composites are widely utilized in intelligent structural systems, because of their mechanical and electrochemical properties. But, under varying thermo-mechanical and environmental conditions, it is important to have accurate degradation monitoring for real-time industrial process is challenging. In this work, an explainable machine-learning framework for structural health monitoring and adaptive energy management of polymer composites with energy storage capacity is proposed in an IoT environment with the help …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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E-library and Education System
Abstract: Education system is a biggest issue in our country. Technology is now growing education system and its related areas. Main aim in this direction is to lower the cost of imparting education to as less as rupees one per child and compatible the paucity of teachers and take learning people. Who face harnessing technology? E-library is like miracle in library and education sector. Time is the most important thing and …
Published in E-Commerce for Future & Trends · Vol. 1, Issue 2, 2014 · pp. 13–16 Read article
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IoT Based Color Product Sorting Machine
Abstract: This is the time of globalization and we here tend to solve the problem for mainly packaging industries as well as the supermarkets. Everyday tons of fruits, vegetables, and many different packets of foods are supplied to big supermarkets, malls etc. Usually people working there sort these product based different color, texture, shape etc. Here we are trying to solve their hardship by technology such as product sorting based on …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 3, 2018 · pp. 20–25 Read article
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Survey on Generating Minimal Test Cases for Regression Testing
Abstract: Testing the software is very important phase in software development life cycle. Testing the software automatically is the best way to test the software because it consumes less time compared to manual testing which is a time-consuming process. To test the software automatically, test case generation is the best way. One way to generate the test cases is with the help of Unified Modeling Language (UML) diagrams. In this paper, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 9–16 Read article
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Management the processes for evaluating external human induced events using operating systems concept
Abstract: The key of success for computer system or smart phone system is good operating systems that manage both of hardware and software resources in a good manner. Good operating systems have the ability to manage a large number of processes without causing any failure or slowing down the suitable performance of the computer system or smart phone system. Most of good operating systems have a common concept for managing a …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 2, 2018 · pp. 24–29 Read article
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Comparative Study of Reinforcement Learning Algorithms on Traffic Light Control System
Abstract: With the changing times, the need of upgraded and efficient state-of-the-art traffic light control system is truly required. How well do various state-of-the-art algorithms handle complex real-life situations, more technically speaking, how well the reward function operates and minimizes the waiting time, is the prime question of the hour. Here we have successfully employed three reinforcement learning agents-REINFORCE, D3QN and DDPG each of which can independently handle large volumes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 33–45 Read article