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1978 articles for “CLA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Modelling of Spot Weld Features Using Solid Works and Experimental Modal Analysis of Resistance Spot Welded Thin Sheets of Low Carbon Steel Panels
Abstract: Resistance Spot Welding of thin (RSW) low carbon steel sheets are widely used in automotive, aero-space sectors, furniture, medical equipments, packaging and electronics industries. Although, RSW is well established for low thickness sheets and static design guidelines are well defined, the dynamic analysis of spot welded panels has not been studied in detail. In this paper, solid modeling is done using Solid Works incorporating all the spot weld geometrical features …
Published in Trends in Machine design · Vol. 10, Issue 3, 2023 · pp. 29–39 Read article
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A Descriptive Study to Assess the Attitude Regarding Online Learning Among Parents of Nursing Students, in Selected Nursing Colleges of Kerala and Karnataka
Abstract: In the past, there has been heated discussion about how students should use digital tools for learning among parents, academics, teachers, and policymakers. This study aimed to determine how parents of nursing students felt about online education in a few nursing colleges in Kerala and Karnataka. This study employed a descriptive survey design to gather information. The sample comprised of 111 nursing students' parents, who were selected using purposive sampling …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 1, 2023 · pp. 76–81 Read article
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Human Age and Gender Determination Using Fingerprints
Abstract: We present a review of technologies to determine human age and gender using fingerprints. Broadly two methodologies are reviewed i.e. Ridge based human age and gender determination and Image based human age and gender determination. Ridge based techniques uses ridge information with its variant statistics measures for classification of a human fingerprint into different classes of age groups and male/female distinction. These methods do not involve separate classifiers for classification …
Published in Journal of Advancements in Robotics Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Numerical and Experimental Modal Analysis of Square Sheets of Low Carbon Steel Under Different Boundary Conditions
Abstract: Dynamic analysis of square plates has been a subject of fundamental research interest over several decades. In these analyses, several dynamic aspects such as modal frequencies, occurrence of harmonics, mode shapes, displacement pattern of position vector, location of maximum displacement and damping characteristics are studied which provide critical inputs for structural design engineers. In this paper, a detailed modal analysis (both modal frequencies and mode shapes) of low carbon steel …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 2, 2023 · pp. 15–22 Read article
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First experimental results on “clay and bentonite” mixtures for the waterproofing of a landfill in Northwestern Piedmont Region (NW Italy)
Abstract: We report on experimental results conducted on “clay and bentonite” mixtures for the waterproofing of a tank landfill located in Northwestern Piedmont Region (NW Italy).The geotechnical experimental tests on “clay and bentonite” mixtures were conducted in the laboratory first, with the aim of finding the optimum percentage of granular bentonite to be added to the clay and then, they were carried out in situ, in the tank, on the layer …
Published in Journal of Geotechnical Engineering · Vol. 7, Issue 2, 2020 · pp. 13–17 Read article
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Soil Analysis Mechanisms for Smart Agriculture-A Review
Abstract: Agriculture, Horticulture, as the single biggest client of freshwater on a worldwide premise and as a significant reason for corruption of surface and groundwater assets through disintegration and synthetic overflow, has cause to be worried about the worldwide ramifications of water quality. The related agro food preparing industry is likewise a huge wellspring of natural contamination in many nations. Hydroponics is currently perceived as a significant issue in freshwater, estuarine …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 6–10 Read article
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Smart Home Automation System
Abstract: Computerization is becoming famous step by step because of various benefits. Till now the current advancement shows that the mechanization framework is overseen by messages, or a few different applications. This study gives a thought of involving IoT for observing and controlling home machines by means of the World Wide Web through remote medium or Wi-Fi. The thought given in this study targets controlling home machines through detecting the movement …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 9–23 Read article
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Monitoring and Controlling System of COVID-19 Symptoms Using Random Forest
Abstract: Corona virus (COVID-19) has already claimed hundreds of lives and infected millions of people around the world. The early detection of COVID-19 is shown in this paper. Machine learning random forest techniques were used to implement the detection procedure on cloud computing. Objectives of the study is to provide health assurance directly from home using some smart tools with cloud computing. Our research contribute the categorization of patients into different …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 22–29 Read article
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An Evaluation of Letrozole and Clomiphene Citrate Efficacy as Ovulation Induction Medication in Females with Polycystic Ovarian Condition
Abstract: Polycystic ovarian condition is the most common endocrinopathy in anovulatory infertile females. As a long-established conventional treatment for ovulation induction, clomifene citrate (also known as clomiphene) is still recommended to PCOS patients as their first line of treatment. Indian PCOS women are more prone to have high levels of clomiphene resistance due to the high frequency of insulin resistance . While letrozole has a high potential for ovulation induction, it …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 23–29 Read article
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Design and Analysis of Single Angle Expanding Collets
Abstract: The subject of production deals with the use of fixtures that ensures repeatability to the work piece to be manufactured. The fixture is clamping device that mounts parts at a perfect location and gives stability, which leads to mass production. Thus types of clamping play a decisive role in getting the good reliability of the product. Collet is one of the clamping devices which have long slits around its periphery, …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 2, 2017 · pp. 1–12 Read article
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Use of Virtual Platform for Smart Learning
Abstract: Through this review work, we are going to highlight the advancement and innovations in the field of education through online learning. We are also going to tell that how students are adapted to virtual learning platform. The problems faced by them in adapting online learning platform, that how and what problems did students faced at the beginning and problems that they are facing till now from the time when the …
Published in Current Trends in Information Technology · Vol. 12, Issue 1, 2022 · pp. 11–14 Read article
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Finding Risk Factors in Thyroid and Cardiovascular System Using Naive Bayesian (NB) Machine Learning Technique
Abstract: Thyroid malady could be a common condition. A TSH test is carried out to check for the capacities of your thyroid organ. Illnesses of thyroid can be caused by conditions which cause thyroid organ over or under function. The test can moreover assist you recognize thyroid conditions some time recently indications happen. It is either as well (hyperthyroidism) or under-active (hypothyroidism), you might know. In case untreated, thyroid clutter may …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 1–5 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing Read article
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Revolutionizing EV Battery Charging: Enhancing Power Factor with Modified Bridgeless Landsman Converter
Abstract: The work focuses on the design and implementation of an innovative battery charger for electric vehicles (EVs) with a significant improvement in the power factor at the front end. The existing EV chargers often suffer from poor power factor, leading to increased losses and reduced efficiency. An altered Landsman power factor correction (PFC) converter is used in place of the traditional diode bridge rectifier (DBR) in order to solve this …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 12–20 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article