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283 articles for “image quality”
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Intelligent Machine for Food Quality and Safety Assessment
Abstract: This paper presents the development of an intelligent fruit and vegetable classification system aimed at reducing food waste and infections caused by spoiled items. Using artificial intelligence and sensor data, our system classifies items into three categories: ripe, unripe, and rotten, and employs servo motors to sort them into respective baskets. The classification process utilizes real-time temperature, humidity, and image data captured by the camera and processed by the laptop. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 24–28 Read article
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Mechanical Testing Under Tensile-load
Abstract: Mechanical testing is a technique used to establish a material's mechanical qualities by examining its strength, toughness, hardness, and other characteristics. Specimens produced of various materials whose qualities need to be examined are used to verify this property. In which a static load is applied and a dynamic load is applied, and the test is completed. Understating loads in mechanical testing is the topic of this research article. Any manufacturing …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
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Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 24–31 Read article
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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Machine Learning for Soil Moisture Detection: Introduction, Approaches and Challenges
Abstract: The demand for agricultural is increasing day by day as the population of the world is increasing. So, it becomes necessary for us to increase the production of agricultural products. Traditional ways of agriculture cannot meet such requirements. Nowadays, machine learning based technologies are being used to develop models for agriculture. Machine learning-based applications are very fast and produce high-quality results. It includes recurrent neural networks (RNN), convolution neural networks …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 88–96 Read article
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Smart Agriculture System Using IOT and Image Processing
Abstract: This study presents a new method for identifying and classifying leaf diseases and soil moisture levels. The particular type of leaf disease that affects a plant’s leaf is difficult to distinguish with human eyes. As a result, in order to accurately diagnose leaf diseases, the application of the proposed study attempts to use plant leaf image processing to diagnose illness. India is the global leader in agriculture, and a wide …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 14–23 Read article
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Countering Counterfeiting: Global Challenges and Technological Advances
Abstract: Fake notes are a global issue. Indian is only one among several. Anyone may now print counterfeit notes thanks to advancements in technology. These notes are created without the state’s legal sanction, and the ongoing production of such notes could hurt a country’s economy. When counterfeit notes are created and distributed, ordinary people cannot identify the difference between real and phony money since they are identifiable by their physical qualities. …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 31–36 Read article
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Automated Evaluation of Descriptive Answers
Abstract: This paper offers a smarter system of automatic evaluation of descriptive responses in educational tests. The time-consuming aspect of testing with traditional manual marking, the subjectivity of that process, and the impossibility of scaling it makes it inapplicable, particularly to large academic environments. To resolve the issues, the proposed solution combines the methods of Natural Language Processing (NLP) and hybrid image-text processing on the responses of handwriting and typed answers. …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 1–9 Read article
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Landuse/Landcover Change Detection Analysis using Geospatial Techniques: A Case Study of Simhadripuram Mandal, Kadapa District, Andhra Pradesh, India
Abstract: The focus of this research is to distinguish between shifting land-use patterns and their geo-environmental implications in Simhadripuram Mandal, YSR Kadapa district, Andhra Pradesh, India. While the terms Landuse and Landcover (LULC) are sometimes used interchangeably, they have distinct natural meanings. Landuse refers to the function of a piece of land, such as mining, agriculture, or habitation. Landcover refers to the ground's surface cover, which might include vegetation, water, barren …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 3, 2021 · pp. 30–40 Read article
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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Clinical Study of Role of Rasayana as a Pre adjuvant and Post Treatment of Chemotherapy in the Management of Carcinoma
Abstract: Integrative oncology is a novel form of medical theory which views cancer not merely as an accumulation of genetically transformed immature cells, but sum total of feelings, images, actions evoked by cancer. Not only by those afflicted with the disease, but also by their loved ones. This has been very well understood by Ayurveda. The important tool to manage the adverse reaction is Rasayana. Rasayana through their nutrient value improves …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 1, 2022 · pp. 5–13 Read article
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Application of Geo-Informatics for Cadastral Level Land Use/Land Cover Mapping in Adalpur Micro Watershed of Mahendergarh District for Sustainable Agriculture Management
Abstract: This work represents the case study of Adalpur Micro watershed cadastral level land use/land cover (LULC) mapping for sustainable agricultural management. . This area is situated in Krishnawati seasonal river drainage area. IRS P-6 LISS-IV satellite images for two crop seasons (Rabi and Kharif) of the year 2007 were used to delineate LU/LC within the watershed area. The Rabi and kharif season data are interpreted digitally for delineation of land …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 3, 2014 · pp. 36–41 Read article
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Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques
Abstract: Bengaluru drainage characteristics of natural catchments have drastically altered due to unplanned urbanization, increasing volume and rate of surface runoff. The frequent blockage of drainage system due to indiscriminate disposal of solid waste, encroachment of wetlands and increasing volume of flow makes coping up and worsening the present drainage systems. These problems of urban floods can be prevented by taking necessary precautions in places where these urban floods could occur. …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 3, 2017 · pp. 33–45 Read article
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Accessibility and Design Analysis of Library Websites/Webpages of National Institute of Technology (NITs) in India
Abstract: The purpose of this study is to analyze and examine the design and content information presented in library website/webpages of institutes of NITs across India. Website content organization and effectiveness can be measured utilizing content analysis techniques specifically under a prepared checklist to evaluate the website design and content of the library websites/webpages. In this study the library website/webpages design, functionality, usability and productivity of NITs libraries websites/webpages have been …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 76–84 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 Read article
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A True Experimental Study to Assess the Effectiveness of Cognitive Behavioral Therapy on Low Self-Esteem Among B.Sc. 1St Year Students in Pt. Jwala Prasad Upadhyay Govt. College Patna, Korea (C.G.)
Abstract: Self-esteem is vital for an individual’s well-being and quality of life. Struggling with low self-esteem can lead to negative behaviors and unfavorable outcomes. Cognitive behavioral therapy (CBT), a well-established psychological approach, effectively addresses mental health issues like low self-esteem. By focusing on unhelpful thought patterns and behaviors, CBT supports individuals in fostering a more positive self-image and enhancing emotional health. This study aimed to evaluate the effectiveness of CBT in …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 1, 2025 · pp. 21–24 Read article