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670 articles for “Automated Model”
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
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Automated Scene Surveillance using Frame Propagation from Massive Sequencization Fusion of Frame Imaging
Abstract: Remote sensing scene surveillance has already become significant contributions to many areas such; as environmental engineering and civil applications. However, these fields are still deprived from completely being automated. Since, decisions based on surveillance and sensing data in these fields strongly depend on the accuracy of these data but yet such data is produced by a measuring device and additionally being deprived from effective models and thus being generally prone …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 2, 2014 · pp. 4–7 Read article
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House-hold Waste-water Management System
Abstract: AbstractThe wastewater quantity always exceeds the amount of water purified through R.O system in every household. This wastewater needs to be put to better use for other household activities like kitchen purposes, washroom, lawn etc. In this paper, a model consisting of integrated Programmable logic controller (PLC) and Supervisory Control and Data Acquisition (SCADA) system has been proposed to manage wastewater coming out from Reverse Osmosis (R.O) system. The PLC …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 2, 2020 · pp. 1–8 Read article
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Bending and Single Edge Notch Bending Test (SENB) Investigation of Natural Fiber- Reinforced Epoxy Composites using Machine Learning
Abstract: The present study aims to determine the behavior of hemp fiber-reinforced epoxy composites in terms of bending behavior and fracture toughness under bending load resembles the substitutive behavior of existing synthetic composites. The fabrication was carried out by hand lay-up assembly of hemp fiber with Lapox-12 epoxy resin volume fraction of 60:40 fiber: matrix volume. Flexural testing revealed an average strength of 93.5 ± 2.8 MPa and SENB testing revealed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 59–69 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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AUTOMATED MULTIPLE HACKSAW CUTTING MACHINE
Abstract: The significant and prominent manufacturing process that takes place in the industry is cutting. Cutting is an everyday manufacturing process that is used to attain work pieces of desired shape and size. This project is intended to automate the methods of cutting as much as possible. Therefore, this project is all about ideation, design and fabrication of an automated hacksaw machine that can cut four work pieces simultaneously, using four …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 3, 2022 · pp. 14–26 Read article
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Detection of Cyberbullying on Social Media Using Machine Learning
Abstract: Online harassment disturbance by cyberbullying has grave repercussions. The majority of social networks have it in textual format and it exists in various forms. It is undeniable that more than 1.96 billion people are affected by social interactions online. However, as we move into the next decade, there are significant challenges to be faced in regulating user behaviour. The prevalence of harassment, bullying, and victimization has become a serious problem …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 21–30 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Automated Control System by the Oncological Process
Abstract: The use of automated control system by oncological process in the clinical practice is necessary today for the effective treatment of oncological patients. The conducted investigations showed that the use of a computer for mathematical analysis of clinical material is not only highly effective, but also permits to obtain the results that cannot be reached, using other approaches. The paper presents the original developed automated control system by oncological process …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 8, Issue 2, 2019 · pp. 1–12 Read article
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Native Language Identification from Spoken Indian English
Abstract: Automatic speech recognition (ASR) systems that facilitate voice based search and information retrieval have gained importance recently. While the performance of ASR systems for Indian languages have improved in the recent past. They have yet to gain wide acceptability as much as the ASR systems for English spoken by Indians. Almost all Indians learn English as a second or third language. So, the phoneme set and the prosody of native …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 1–6 Read article
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A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection
Abstract: Due to the rapid growth in urban vehicle density, there have been major problems in the effective management of parking space, which has caused congestion, more traveling time, wastage of fuel, and environmental pollution. Conventional parking systems are very ineffective, as they are based on manual surveillance and cannot provide drivers with much real-time information. To overcome these challenges, the present paper explores the design, development, and operation of a …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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Using Convolutional Neural Networks (CNN) for Age and Gender Prediction
Abstract: The network, security, and care have all become more dependent on age and gender identification. It's commonly used for children's access to age-appropriate content. To expand its reach, social media uses it to provide layered adverts and marketing. Face recognition has progressed to the point where we need to map it out further in order to achieve more usable results using various methodologies. In this study, we suggest using deep …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 27–32 Read article
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Response Surface Approach of Optimization to study the Effects of Drilling Parameters in AISI-304 Stainless Steel
Abstract: The effect of cutting parameters specifically cutting speed, feed rate, drill depth and drill diameter during drilling of AISI-304 stainless steel material on automatic radial drilling machine (RM-62) at different level presents in this work. All the cutting parameters are modeled using response surface methodology (RSM). The impact of cutting speed, feed rate, drill depth and drill diameter on the machining time, average roughness and peak roughness is examined. Finally, …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 21–32 Read article
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Automation Process of Watershed Assessment: Remote Sensing & GIS Techniques
Abstract: A number of water reservoirs, lakes are found in the study area such as Bhagora Tal, Chand Pata Tal, Madhav Lake, Signiwas Tal, Raichand Kheri Tal, etc. These water bodies are occupying low land, plain lands, surrounded by hills and are generally used for domestic water supply, hydel power generation and irrigation purposes. They depend on the availability of seasonal water in nature. The purpose of the watershed assessment in …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 1–6 Read article
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AI – Driven Smart Laboratory for Synthetic Organic Chemistry – A Literature Review
Abstract: The traditional chemistry laboratory is often subjective, time consuming and skill intensive that may lead to inconsistencies in the desired results. The advent of Artificial Intelligence (AI) and its speedy incorporation into the field of chemistry is transforming traditional synthetic laboratories into intelligent, automated systems that combine hardware, software and AI into a unified framework. This paper presents a comprehensive overview of AI – driven laboratory setup for organic synthesis, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 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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Design and Investigation of Peltier Technology for Automobile Air-Conditioning Unit
Abstract: AbstractIn recent years, market of heating, ventilation and air-conditioning system (HVAC) has escalated a lot. These units provide cooling and conditioned atmosphere to automobiles, buildings, cold storage etc. HVAC units are very reliable and effective but they produce some adverse impact on environment. This paper proposes the use of solar energy with thermoelectric (Peltier) technology. In order to determine the efficiency of solar energy assisted thermoelectric module, it is necessary …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 3, 2019 · pp. 37–42 Read article