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281 articles for “digital image”
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Comparative Analysis of CMOS CNFET and Memristor Based Full Adder Circuits and CMOS Memristor Based Multiplexer Circuits
Abstract: Continued developments in microelectronics technology have led to a myriad of new compute-intensive applications at the micro-edge, such as artificial intelligence and signal and image processing. Multiplication is a crucial arithmetic process in such applications. However, large logic complexities typically seen in traditional multipliers generate combinatorial blocks with long chains of cascaded carry addition. As such, energy efficiency has remained a primary design challenge for these applications, when powered by …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 2, 2022 · pp. 22–33 Read article
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Enhancement of Digital Mammograms Using Intuitionistic Fuzzy Entropy Function
Abstract: A novel intuitionistic fuzzy entropy-based algorithm is developed for increasing the contrast of digital mammograms. The contrast enhancement helps in the early detection of masses and microcalcification in tissues thus paving the way for the auxiliary diagnosis of breast cancer. The current techniques for the enhancement of digital mammograms do not consider the uncertainty in pixel intensities of mammograms. The proposed technique aims at enhancing the mammograms using intuitionistic fuzzy …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 10–26 Read article
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The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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Visual Duplicates in Video using Content based Analysis
Abstract: This paper proposes a technique to detect visual duplicates in video using content-based analysis for analyzing duplicate videos in the database. Content-based analysis refers to analysis of digital media on the basis of features extracted from its contents. The proposed algorithm uses key frames, extracts spatial features and stores them in their respective feature vector. Feature vector stores the features extracted from key frame in numerical form. It then compares …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 1, 2014 · pp. 6–11 Read article
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Historical Kannada Handwritten Character Recognition using K-Nearest Neighbour Technique
Abstract: AbstractMost of the historical Kannada handwritten documents are preserved in the manuscript preservation center and archaeological department, and these documents are generally degraded in nature and it is very difficult to read and understand the contents in it. Hence, it is very much essential to digitize the historical Kannada handwritten document and recognize its originality of dynasty. The main objective of this paper is to digitize and recognize the historical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 23–29 Read article
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Integration of AI and Blockchain: Benefits & Use Cases- A Review
Abstract: The fusion of blockchain technology and artificial intelligence (AI) is a groundbreaking innovation that has the potential to revolutionize numerous sectors. Blockchain being immutable in nature allows the data to be shared and stored securely and openly, while as AI can evaluate this data and provide insightful analysis. With the rapid development in the field of AI, we can analyze the developments done in the fields of healthcare, logistics, finance, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 3, 2026 Read article
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Handwritten English Alphabet Recognition Using Convolutional Neural Network
Abstract: This research paper presents an approach for English alphabet recognition using machine learning. The proposed system utilizes a convolutional neural network (CNN) to identify individual characters within an input image. The dataset used in this research consists of a large collection of handwritten alphabet images, sourced from Kaggle's A-Z Handwritten Alphabets dataset in CSV (comma-separated values) format, which were preprocessed and augmented to improve the model's accuracy. We trained and …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 17–25 Read article
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Controlling Media Player Through Hand Gesture Recognition System Using CNN and RNN Models
Abstract: Artificial intelligence markup language (AIML) project represents a pioneering endeavor in the realm of media player control through hand gesture recognition, merging advanced technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN). By harnessing the image analysis capabilities of CNN, our system ensures accurate, real-time detection, and interpretation of intricate hand gestures, enabling users to interact with their media content naturally and seamlessly. What sets our project apart …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 29–34 Read article
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Mammographic CADe And CADx for Identifying Microcalcification Using Support Vector Machine
Abstract: The second most frequent cause of death and disease in women worldwide is breast cancer. Effective detection is a crucial element in the successful treatment of cancer. X-ray mammography is the majorityfrequent method for breast cancer. Screenings because of its convenience, portability, and cost-effectiveness. The CADe and CADx techniques were designed to assist radiologists in improving the detection and screening of breast cancer. The goal is for breast cancer to …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 9–16 Read article
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Reduced Partial Product Booth Multiplier with An Effective Error Compensation Circuit
Abstract: Reduced partial product Booth multiplier is mainly used in multimedia and digital signal processing (DSP) systems. In this paper, design of reduced partial product (constant-width) Booth multiplier is introduced. Here the least significant bit (LSB) of partial product matrix of Booth multiplier is removed and an error compensation function is derived for reducing truncation error. A simple error compensation circuit (SC generator) is also introduced to reduce the computations that …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 42–49 Read article
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Social Media Analysis Using Big Data
Abstract: Social media has become an essential aspect of everyday life across different age groups, serving functions ranging from sharing personal updates to staying informed about social developments. Our objective is to harness big data to extract meaningful insights from the immense and ever-expanding volume of data generated on social media platforms. We will collect and analyze data from various social media sources, including text, images, and user interactions, using cutting-edge …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 35–46 Read article
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Changes Detection of Land Use/Land Cover Vector Data in Nirmal Mandal, Adilabad District, Telangana State, India
Abstract: AbstractLand use/land cover change detection techniques by using LISS-IV satellite image helps to analyze their topographic features and landscape dynamics. Spatial data of 2005 and 2015 satellite images have been studied for comparison of agricultural, barren, cultivated, built-up and wastelands. These categories, indications results has been increased by, agricultural land (36.8% with an area of 80.3 km2) and 45.7% (99.7 km2), uncultivated land [38.60% (84.2 km2 and 29.70% (64.8 km2)], …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 1, 2018 · pp. 11–17 Read article
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Encryption Mechanism under Prevalent Invasion
Abstract: The digital and computerized era is fast approaching which has increased the amount of data exchanged over the internet. The information transmitted can be accessed by an unauthorized user who can manipulate the data. This fact reveals the need for security mechanisms resulting in various cryptographic algorithms having enhanced protection mechanisms which fulfill the increased demand for security in cyber-attacks and data exploitation. The main goal of these strategies is …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 28–34 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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IMAT: Intuitive Malware Analyzer Tool
Abstract: Malware refers to malicious software intentionally created to damage or exploit computer systems, networks, and devices. Malware can steal information, damage computers, and cause other problems disrupting normal computer operations, or gaining unauthorized access to systems. Our proposed system, "IMAT (Intuitive Malware Analyzer Tool)" uses special Python tools like VirusTotal and YARA to look for and understand malware. Imagine having a guard for your computer that checks all the files …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 13–18 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 9–14 Read article
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Breaking Barriers: Overcoming Challenges for Women in STEM in India-A Conceptual Perspective
Abstract: STEM education which brings together Science, Technology, Engineering, and Mathematics has become the foundation for success in today’s fast-changing, technology-driven world. It helps students think critically, solve real-world problems, and adapt to new innovations like artificial intelligence, robotics, data science, and biotechnology. In a country like India, where digital transformation is reshaping every sector, STEM education is not just an academic choice but a key to national growth and progress. …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 8–13 Read article
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Online Handwritten Kannada Character Recognition and Translation to English
Abstract: Abstract—The objective of the paper is to develop a technique that can efficiently recognize hand-written characters of Kannada language and then translate the same to English language. Online recognition refers to the processing of the characters as and when it is written on digitizer and recognizes the class which it belongs to. The iball 5540U Pen Tablet is used to collect the handwritten character samples and to build the database. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 37–53 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article