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111 articles for “image patterns”
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Review on Basics of Computer Vision and Its Applications
Abstract: A wide range of processes that include the representation of visual perception are studied and analyzed in the domain of computer vision. The domain also comprises of various techniques such as image processing, geometric modelling, pattern classification, etc. The applications of computer vision have a range from hospital room to manufacturing industries and up to the surface of Mars. In this paper we aim to provide an overview of the …
Published in Research and Reviews : Journal of Computational Biology · Vol. 6, Issue 2, 2017 · pp. 33–40 Read article
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Data to Diagnosis: A Systematic Review of AI/ML in Healthcare
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are fast revolutionizing the diagnosis of healthcare by augmenting accuracy, speed, and efficiency. AI/ML technologies facilitate earlier and more accurate disease identification with advanced algorithms for image processing, predictive modelling, and pattern recognition, frequently outperforming conventional diagnostic techniques. This review delves into the key contribution of AI/ML in contemporary healthcare, such as its use in clinical data analysis, imaging reports, and patient histories …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Impact of Salinity Ingression Prevention Structures (Bandharas) on Different Landuse Categories in Abdasa Taluka of Kachchh Region, Gujarat-India
Abstract: Kachchh has a coastline of 406 km that faces various problems due to the salinity ingression and some developmental initiatives like ports, industries, etc. To check salinity ingression in the adjacent land of coastal areas, Government of Gujarat has taken some corrective measures in which construction of bandharas is one such attempt to prevent ingress of salinity along the coastal belt of Kachchh. For this activity, the government has invested …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 49–61 Read article
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Recent Advances in Smart Polymer Composites for Plant Health Monitoring: A Strategic Integration of Sensing Mechanisms and Computational Intelligence
Abstract: Plant health assessment is crucial for agricultural production and food security, as plant diseases significantly affect crop yields and quality. This paper reviews the applications of polymers and composite materials in the evaluation of plant health, focusing on both natural and artificial polymers, carbon materials, and polymeric–nanoparticle composite materials. Various types of sensing principles, such as colorimetry, fluorimetry, surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), and interferometry, are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1135–1144 Read article
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Enhancement of Gas Sensitivity of Composites of Carbon Derived from Rubber Tree and SnO2 to Detect Ethanol Vapor at Room Temperature
Abstract: Films of composites of activated carbon powder prepared from saw dust derived from core of rubber tree (Hevea Brasiliensis) and tin oxide (SnO2) were fabricated using the doctor blade method. Carbon powder was activated using phosphoric acid at 500°C for 45 minutes. The weight ratio carbon/SnO2 varied from 0 to 12% in steps of 2. The structural, optical and morphological properties of films were investigated using XRD patterns, UV-visible spectrums …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 31–44 Read article
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Appraisal of Household Potable Water Accessibility in Sub–Urban Areas of Oyo State: Geographic Information System and Remote Sensing Approach
Abstract: This study centred on assessing potable water accessibility in sub-urban areas using Fiditi as a case study. This study adopted a service area network and overlay operation in ArcGIS to achieve the aim of this study. Locational coordinates of all the facilities were obtained through Garmin 76 handheld GPS. Also, ground truthing was adopted to distinguish residential buildings from non - residential buildings. Coordinates (X.Y, Z) of the study were …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 1–14 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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From Trace to Truth: Integrating Forensic Science, Analytical Chemistry, Medical Evidence and Artificial Intelligence in Modern Criminal Investigation
Abstract: Modern criminal investigations are inherently interdisciplinary, integrating medical research, forensic science, analytical chemistry, and artificial intelligence (AI) to transform hazy traces into reliable, legally recognised evidence. This study examines the ways in which different domains collaborate across the whole investigation process, ranging from judicial review, laboratory analysis, and computer processing to crime scene management and evidence retrieval. This research is based on a thorough review of scholarly literature and a …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 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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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Structural Health Monitoring of Bridges using Digital Image Correlation: A Case Study
Abstract: The rapid development of the transportation section and continuous change in traffic volume, density, and loading patterns over the last few decades have increased the probability of a hazard and reduced the life of existing bridges. Structural Health Monitoring (SHM) is a process of implementing a damage detection and characterization strategy for engineering structures. This paper presents a review of various trends and technology adopted for SHM. However, it focuses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 1–10 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 Read article
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The Prospects of Multimedia in 2025: Emerging Patterns to Monitor
Abstract: The term multimedia describes the computer-aided combination of text, illustrations, graphics, audio, animation, still and moving images (videos), and any other medium that allows for the digital expression, storing, processing, and communication of any kind of information. The word of the decade is multimedia. It is a buzzword that has been used in a variety of contexts. It appears on the covers of movies, CDs, literature, newspapers, and handheld games. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 25–31 Read article
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Efficient PCB Fault Detection System using Deep Learning and Image Processing
Abstract: Printed Circuit Boards (PCBs) are essential parts that support the operation of electronic equipment in a variety of sectors. Nevertheless, difficulties that manufacturers regularly face during the PCB manufacturing process lead to defective devices. However, current inspection processes occur after etching, wasting a lot of material and rendering defective PCBs unusable. This study discusses relevant practical difficulties and offers a method for identifying errors in real PCB images using Matlab …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 1–5 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Dual Band Suspended Microstrip Right-angled Isosceles Triangular Patch Antenna
Abstract: ABSTRACT In this paper a dualband suspended microstrip right-angled isosceles triangular patch antenna is designed for use in microwave imaging system for breast cancer tumour detection. An approximate design equations are developed and validated by CST Microwave Studio’s simulated result. Here dual band operation is achieved by manipulating fundamental mode and higher mode of microstrip antenna. Tuning of this antenna is achieved at frequency 3.35 GHz and 6.70 GHz which …
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 2, 2012 · pp. 7–13 Read article