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1926 articles for “CLA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Accessavior: AI-Driven Real-Time Adaptive Web Interfaces for Intelligent User Experiences
Abstract: As the web has become more diverse, many traditional, one-size-fits-all web accessibility solutions that must be configured manually have proven inadequate in meeting the needs of each user. This paper introduces “Accessavior”, which is an intelligent, behavioural pattern-driven accessibility framework that can automatically customize the personalization of web interfaces based on the interaction patterns of users. The proposed system will continuously track cursor behaviours such as cursor movements, keystroke characteristics, …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 14–22 Read article
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Deep Learning for Traffic Sign Recognition in Autonomous Vehicles: Challenges, Trends and Future Directions
Abstract: Traffic Sign Recognition (TSR) serves as a fundamental task in the domain of autonomous vehicles (AVs), enabling systems to detect, classify, and respond to road signs with the level of accuracy and speed required for safe navigation. As AV technology continues to evolve, the role of intelligent TSR systems has become increasingly vital. Traditional computer vision techniques, while foundational, often fall short under challenging real-world conditions such as poor lighting, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Campus Connect: Intelligent Web Platform for Integrating Academic and Administrative Campus Activities
Abstract: Campus Connect is a full-stack web-based application designed to improve communication, collaboration, and community engagement within a college campus. It acts as a centralized platform where students, faculty, and staff can create profiles, connect with each other, and participate in academic and extracurricular activities. The system includes features such as a news feed for announcements and events, discussion forums for academic interaction, a resource-sharing section for study materials, and an …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 9–14 Read article
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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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PEROVSKITE MATERIALS: A REVIEW OF STRUCTURE, PROPERTIES AND
Abstract: Perovskite materials have emerged as one of the most promising classes of functional materials for next-generation energy conversion and optoelectronic applications due to their exceptional structural, optical, and electrical properties. Their unique ABX₃ crystal structure provides excellent compositional flexibility, allowing researchers to tailor their physical and chemical characteristics for specific applications. Features such as tunable bandgaps, high optical absorption coefficients, long charge carrier diffusion lengths, and balanced electron-hole transport have …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 Read article
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Novel Algorithm for Finding the Range of Fuzzy Values for Quantitative Data Sets by Data Mining and Fuzzy Technique
Abstract: We all know, when we have large data sets, then applying data mining association rule is difficult. Fuzzy based classification technique is to overcome above problem. This technique divides the large data sets in two parts. First part carries useful data sets and second part applies data mining association algorithm. We can also be able to find the frequent classes or frequent fuzzy values of quantitative data sets. We also …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 27–32 Read article
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A Novel Multi-Wavelet Based Image Filtering Technique for Noise Reduction in Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. Though there are several works on image denoising algorithm but they aren’t much to pay emphasis over …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 12–17 Read article
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“Hello English”App: Bridges the Gap
Abstract: From being a land of different ethnicities, languages and cultures to a country that shines bright on the IT landscape of the world, India has always been a land of opportunities and paradoxes. While on one hand we Indians appreciate our diversity, on the other hand we take pride in imitating our colonial masters. Despite having more than 22 regional languages and a multitude of dialects, English language alone enjoys …
Published in E-Commerce for Future & Trends · Vol. 2, Issue 3, 2015 · pp. 1–3 Read article
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Review on DTN Routing Families
Abstract: Delay tolerant network are a class of emerging networks that experiences periodic and long duration changes. Compared with the traditional network, the feature which separate DTN with other networks is that there is no end to end communication path between source node and destination node. The network topology changes vigorously and non-presence of an end to end connectivity posses many challenges in the routing protocol. The routing protocols are broadly …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 26–31 Read article
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Comparative Study of Traditional Protocols with Advanced Cache Coherence Protocols
Abstract: AbstractCache coherence problem in chip multiprocessor (CMP) architecture has always been an important area of research. Despite of having a number of classes of protocols for solving this problem, researchers are still eager to explore various possibilities of improvement in the performance of the cache coherency protocols. In this paper, we studied and compared three cache coherency protocols for CMP architecture proposed very recently. These protocols are important because of …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 6–13 Read article
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A New Evaluation Index for Application of Machine Learning Algorithms to Determine Trust in Skewed Social Media Data
Abstract: In this paper we study the problem of accuracy paradox which arises on the application of machine learning algorithms for inference of trust in skewed social media data. Skewness is defined as the under representation of one class over another in a binary classification problem. We achieved our purpose of identifying the accuracy paradox problem in various algorithms by identifying a new evaluation index called predictive index. The dataset used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 49–57 Read article
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Multiclass Content-based Visual Information Retrieval using Multi Layer Perceptron and Convolution Neural Network: A Comparative Study
Abstract: Content-based visual information extraction is an area, which utilizes the computer vision methods for searching and indexing the images in image library more competently than manual annotations. Due to the exponentially increase in image database volume, there is a demand of efficient retrieval system. Deep learning-based machine vision systems have the ability to handle large amount of data efficiently than ordinary machine vision systems. This paper proposed a content-based image …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 1–9 Read article
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Algebraic Cloud Computing and its Applications
Abstract: An algebraic cloud computing technique is proposed in this paper. From plane to space is the key transformation studied under the context of computational applications. This paper presents a new idea of cloud computing based on relative concept of group theory. Its algebraic properties are applied to design an e-diagnosis system. This e-administration system performs efficiently and securely than classical cloud computing system. The algebraic analysis is presented in this …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 24–30 Read article
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Malaria Parasite Detection in Thin Blood Smear Images Using Deep Learning
Abstract: Algorithms in deep neural networks are being used to show the presence of malaria and to estimate the depth of infection by automatically counting individual uninfected and infected RBCs in images of thin blood smears. During the training period, the relationship was tried on a set of 13600 images from several thin blood spreads and experiment was conducted. My dataset is divided into 80% for training and 20% for testing. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 28–32 Read article
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Region Segmentation and Annotation with Vehicle Detection Validation Application in Airborne Images
Abstract: In this work, the authors propose an automatic image segmentation and annotation system for airborne images. Initial region segmentation using existing region segmentation methods is applied to airborne images first. To deal with over-segmentation on the initial region segmentation results, the authors performed graph-based region merging by constructing an undirected-graph based on 8-connected local neighborhood. For each region, the authors extracted low-level features and used the Support Vector Machine (SVM) …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 9–19 Read article
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An Approach to Translate English Voice to Bangla Text for Android EnvironmentAn Approach to Translate English Voice to Bangla Text for Android Environment
Abstract: Voice recognition and machine translation (MT) has become the open research field in the recent years. Voice or speech recognition technique has improved vastly and MT is getting more popular to the modern generation day by day. In this work, we describe the construction method of MT sentence with the help of Google voice recognizer. An adapting rule based statistical MT system has been used to translate the English sentence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 23–28 Read article
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Enhancing the Still Image Using Super Resolution Techniques: A Review
Abstract: Super Resolution (SR) refers to the reconstruction of images that are visually superior to the original low resolution (LR) images by bandwidth extrapolation beyond the pass band of the imaging system. Tsai and Hunag were the first to consider the problem of SR in 1984. Onwards over three decade various researchers contributed in the field of SR but all are intuitive SR mechanisms. This paper reviews the recent SR techniques. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 35–51 Read article
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An Approach of Multi-modal Biometric Iris and Speech based Person Recognition System with Decision Fusion Technique
Abstract: This paper presents a unique approach of multi-modal iris and speech feature based person recognition system. Iris images and speech signals are taken from CASIA iris database and NOIZEUS speech database respectively. Iris features are extracted after applying iris images noise removing and image pre-processing techniques. On the other hand, speech signal noise removing, start-end points detection algorithm, silence parts removal, windowing and feature extraction techniques are applied to extract …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 5–10 Read article
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Image Processing Based Analysis of Fundus Images for Glaucoma Detection
Abstract: Precise and prompt identification of glaucoma is essential for its treatment. Fundus images provide important information, which shall be extracted using carefully designed image processing algorithms. The paper discusses a methodology for automatic detection of glaucoma from fundus images. The technique makes use of an elaborate image segmentation process, wavelet decomposition for feature selection and a proven classification model.Keywords: Glaucoma, fundus image, discrete wavelet transform, SVM classifierCite this ArticleShibina M.P, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 33–39 Read article