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670 articles for “Automated Model”
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 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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Downshifting Strategy Using Gear Skipping During Normal Braking in Electric Vehicles Equipped with AMT
Abstract: In this paper, the regenerative braking method using optimal downshifting is investigated to increase the recovering energy during normal braking in an electric vehicle equipped with Automatic Manual Transmission (AMT). First, the modeling of the electric vehicle powertrain and consideration of brake force distribution was carried out. Based on these, the method to select general downshifting points was mentioned in the electric vehicle. Second, the effect of power interruption on …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 8–19 Read article
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Protein Modeling and Drug Docking Studies on Potential Protein Target (E. coli–dosP) and Compound Aldehyde (Sumatriptan) using Bioinformatics Tools
Abstract: The aim of the present in silico studies is to find out the potential protein target in stationary phase-induced biofilm regulator (E. coli–dosP) and deliver the 3D structure and to introduce the best inhibitors of aldehydes (Sumatriptan) using molecular drug docking techniques. The potential chemical compound, Aldehyde (Sumatriptan) was retrieved from NCBI PubChem compound database and converted into the 3D structure using online smiles translator and finally docking studies were …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 3, 2018 · pp. 9–18 Read article
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Kinect Based Physical Player Interactive Game Using Mealy Model in Unity K-Infinite Runner
Abstract: AbstractRecently, game structures are designed using NFA (Non-Deterministic Finite Automata) and DFA (Deterministic Finite Automata). NFA can reside at the same time in multiple states and hence it must be converting into DFA and then we used DFA to implement the game design. Conversion takes extra efforts and sometimes leads to ambiguous states. In our proposed modeled game, we used a Mealy machine to implement a game design which describes …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 25–34 Read article
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Solar Powered Automatic Turmeric Planting Machine
Abstract: AbstractRenewable energy and farming are a winning combination. Agriculture plays an important role in the life of economy. Among various crops, turmeric plays a major role. During manual planting, the labour has to dig the soil. In current technology, semi-automatic machine is used which leads to air and noise pollution due to emission of greenhouse gases. The main intention of this project is to develop a solar powered fully automatic …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 23–29 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Comparative Analysis of Supervised Learning Algorithms for the Traffic Accident Prediction Under Rural and Urban Areas
Abstract: The features of different mechanisms for safety to traffic accidents are the biggest challenge for the automobile manufacturing industry in rural and urban areas. The objective of this work is to address the challenge of safety in traffic accidents by developing an accurate prediction model for identifying patterns in the different scenarios for preventing traffic accidents using accurate prediction. The machine learning algorithm is used to easily predict the traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 20–27 Read article
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Design and Fabrication of Automatic Pesticides Sprayer
Abstract: Farming is the heart of Indian culture .Agriculture sector largest Employment providing sector. The farmers comes under different levels according to their economic condition like small marginal medium and rich farmers. In large scale rural area farmers using manually operated instrument instead of new techniques. In addition to that spraying pesticides is also preliminary action taken by farmers to protect crop from insect diseases fungi and pests. Number of technologies …
Published in Journal of Production Research & Management · Vol. 10, Issue 2, 2020 · pp. 3–5 Read article
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Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images
Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Impact of Information Technology Tools and AI on Supply Chain Management of Indian Automobile Industry
Abstract: This article aims to enhance the efficiency and effectiveness of the supply chain within the Indian automotive sector through the application of innovative information technology tools and artificial intelligence. To achieve this goal, the study focuses on three main objectives: identifying key driving factors through an extensive literature review, analyzing the interrelationships among these factors, and prioritizing them based on their importance. In today's competitive environment, customer satisfaction is paramount …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 19–27 Read article
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Electromagnetic Finite Element Analysis of a Switched Reluctance Motor
Abstract: The objective of this study is to create an ideal model for an ultra-high speed switched reluctance motor generator for automotive turbocharger assistance and energy recovery by using electromagnetic finite element analysis. For this purpose, the transient simulation process is considered. The modelling and analysis of a switched reluctance motor (SRM) is the initial task for the selection of the coupled mover. The SRM must be able to achieve high …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 36–48 Read article
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Time Series Model for National Stock Price Prediction
Abstract: The national stock exchange is widest and fully automatic trading system in India. Analysis and prediction of stock market time series data have involved considerable interest from the researchers over the last decade. In this paper, the Nifty 50 closing stock market prices were computed and predicted the trend of stock market fluctuations using time series modeling techniques, like exponential smoothing and autoregressive integrated moving average. The forecasted values of …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 85s–90s Read article
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Design & Development a SPM for cutting operation: A case study on power switch assembly
Abstract: Automation is used to improve the productivity in majority of the industries. It helps in reducing the human intervention and improves a quality lot. Assembly process along with the manufacturing of each part needs to be studied, to automate the desire manufacturing processes. Here a case of power switch is investigated and analysis is carried out in terms of the automation strategy. Each process is analyzed by parameters like efficiency, …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 7–17 Read article
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Design and Fabrication of Automated Rice Huller
Abstract: This paper describes the detailed procedure for design and fabrication of rice huller machine. A rice huller or rice husker is an agricultural machine used to automate the process of removing the chaff (the outer husks) of grains of rice. Throughout history, there have been numerous techniques to hull rice. Traditionally, it would be pounded using some form of mortar and pestle. An early simple machine to do this is …
Published in Trends in Mechanical Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 34–38 Read article
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Design of Automation Work Systems: A Review
Abstract: ABSTRACTThe outline of a computerization work framework includes critical decisions concerning the sort of framework process and additionally the state of the procedure. These depend on the prerequisites from the client. This work gives the advancement of setup demonstrate for robotizing the plan of work framework. The model comprises of the extraction and execution procedure of client necessities. It starts with the recognizable proof of the necessity explanation. Once distinguished, …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 3, 2017 · pp. 15–19 Read article
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Neuro-fuzzy Control Systems: A Cross-domain Review
Abstract: This paper presents a comprehensive review of the application of neuro-fuzzy control systems in various industries. Using the combined strengths of neural networks and fuzzy logic, neural-fuzzy control systems emerge as versatile tools to solve challenging control challenges It begins with clarifying the theoretical basis of neural fuzzy systems, and emphasizing their scalability, definition, and robustness. Specific examples in each domain highlight the effectiveness of neuro-fuzzy control in solving real …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 28–37 Read article
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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AbhiGyam: A Machine Learning Model-driven Research Platform for Assessing Accessibility Infrastructure in Indian Cities
Abstract: This work presents AbhiGyam, a machine learning-driven research platform designed to streamline and automate the assessment of accessibility infrastructure in Indian cities. AbhiGyam leverages the Google Maps API to transmit street view images to the backend, where computer vision techniques are implemented using OpenAI's CLIP (Contrastive Language-Image Pre-training) model to identify objects such as ramps, sidewalks, crosswalks, and parking spaces. The accuracy of the model is validated using labeled data …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 84–91 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article