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710 articles for “data patterns”
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Smart Bionic Hand: Combining Hardware and AI For Adaptive Prosthetic Functionality
Abstract: This research paper presents the development and integration of a bionic arm that leverages both hardware components and artificial intelligence (AI) models for enhanced functionality and user interaction. The hardware design includes key components such as servo motors, an Arduino UNO microcontroller, electromyography (EMG) sensors, and a lithium-ion battery. The EMG sensors detect muscle signals, which serve as inputs for controlling the arm's movements, while the servo motors are responsible …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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A Survey of Usage and Awareness of E-Resources Among University Library Users at B.R.A. Bihar University, Muzaffarpur, Bihar
Abstract: This study investigates the usage and awareness of e-resources among university library users at BRA Bihar University, Muzaffarpur. The primary purpose of the research is to assess how well users are informed about available electronic resources and to evaluate their usage patterns in academic activities. A quantitative survey was conducted among library users to gather data on their awareness of e-resources, their preferences for specific types of resources, and the …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 46–56 Read article
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IEEE/ACM Transactions on Networking: A Bibliometric Study
Abstract: This study analyzes the bibliometric characteristics of the journal “IEEE/ACM Transactions on Networking” published by IEEE Networking Society during 2012–2016. Data were collected from the online archives. The study focuses on year wise publication pattern of articles, reference pattern, authorship pattern, degree of collaboration, citation analysis, geographical distribution of papers etc. The study reveals that most of the papers are multiauthored and authors from United States contributed the most. Keywords: …
Published in Journal of Advancements in Library Sciences · Vol. 4, Issue 1, 2017 · pp. 22–28 Read article
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Study of Rainfall According to Rainy Nakshatra
Abstract: Most of the Indian farmers used to plan their agriculture work in accordance with eleven rainy nakshatras. It is necessary to verify which rainy nakshatra is more reliable to all farmers. This paper focuses on the study of rainfall under rainy nakshatras. This analysis will provide useful information for water resources planner and farmers to assess the availability of water and create the storage accordingly. The scientific results and the …
Published in Research & Reviews : Journal of Ecology · Vol. 7, Issue 3, 2018 · pp. 23–28 Read article
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Assessing the Environmental Pollution Caused by the Disposal of Polythene Bags in Damaturu Local Government Area, Yobe State
Abstract: Polyethylene or polythene bags are manufactured using ethylene, which is a gas generated during the production of coal, oil, and gas as a secondary product. The majority of plastics are non-biodegradable and can persist in the environment for extended periods, lasting hundreds of years. Nigeria is facing a growing issue with plastic waste, with Yobe state alone producing approximately 132,112 tons of plastic waste every year. In an effort to …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 1, 2023 · pp. 44–56 Read article
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Personality and Behavior Identification Based on Handwriting Analysis
Abstract: Graphing is the process of identifying, evaluating, and understanding a person's personality traits through handwritten patterns. The accuracy of handwriting analysis depends on the skill of the analyst, it is expensive and prone to errors. The proposed approach is therefore focused on building a system that can predict personality traits with the help of machine learning without human intervention. In this project, 657 authors' handwritten samples were taken as datasets. …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 42–54 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Information-Seeking Behaviour of B.Ed. Students in Indore Region College Libraries: An Empirical Study
Abstract: The study titled “Information Seeking Behaviour of Users in Bachelor of Education (B.Ed.) College Libraries of the Indore Region: A Study” examines how students, faculty members, and research scholars locate, access, and utilize information resources within B.Ed. college libraries. Using a mixed-method research design, data was collected from 535 respondents through standardized questionnaires—distributed in both physical and digital formats—and supported by informal interviews and personal observations for deeper qualitative insight. …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 · pp. 43–55 Read article
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Time-Series Analysis of Uber Ride Trends
Abstract: This article provides an in-depth analysis of Uber's data analytics, clarifying its crucial role in revolutionizing the transportation industry. It provides vital insights for stakeholders by carefully examining rider patterns, driving behaviors, and market dynamics. This study provides a thorough knowledge of Uber's impact on urban transportation and socio-economic landscapes by combining existing research and proposing fresh approaches. Uber is a digital company that has made multiple attempts to leverage …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 34–38 Read article
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IntelliGaurd WebScan: Uncovering Dark Patterns on E-Commerce Websites
Abstract: Dark patterns are deceptive design elements that influence user behavior online, frequently with unexpected results that go beyond personal experiences. These deceptive methods unintentionally encourage excessive consumption, which can seriously impede sustainability initiatives. This paper presents IntelliGuard WebScan, a system created specially to identify and combat these dishonest strategies. Employing painstaking examinations and assessment of heterogeneous datasets and rigorous experimentation with multiple algorithms, among them a support vector classifier (SVC), …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article
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Hand Grasp Recognition and Classification of Prehensile Surface EMG Signals
Abstract: Myoelectric control signals are commonly used as a convenient solution of prosthesis control for the disabled persons or amputees. Surface EMG signal being noninvasive is easy to acquire and is commonly used in prosthetic devices. Myoelectric control system is the fundamental component of modern prostheses, which uses the myoelectric signals from an individual’s muscles to control the prosthesis movements. In this paper data collected from several subjects using four surface …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 29–38 Read article
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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Arduino Empowered: Smart Glove Review and Analysis
Abstract: In recent years, there has been a growing interest in wearable technology, particularly in the realm of human-computer interaction (HCI). Smart gloves, equipped with various sensors and actuators, have emerged as a promising interface for facilitating seamless interaction between humans and digital devices. This paper presents the development of Arduino-based smart gloves designed to augment conventional HCI methods by incorporating gesture recognition and tactile feedback capabilities. The smart gloves feature …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article
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Personal Authentication-Based Fingerprint Recognition
Abstract: As our society has become more and more electronically connected and more proxy representations of identity such as passwords cannot be trusted to establish a person’s identity, biometrics offers a natural and reliable solution to certain aspects of identity management by utilizing fully automated or semi-automated schemes to recognize individuals based on their inherent physical and/or behavioral characteristics. Human fingerprints contain details called minutiae, which can be used as identification …
Published in E-Commerce for Future & Trends · Vol. 1, Issue 1, 2014 · pp. 6–10 Read article
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Some Aspects of the Vagaries in the Pattern of Meteorological Parameters in the State of Rajasthan in Association with the LULC Change
Abstract: Present work examined the role of the change in land use and land cover (LULC) in altering the rainfall and temperature pattern over the western part of the Rajasthan, India. For this purpose, the high-resolution gridded rainfall and surface temperature data sets prepared by IMD (India Meteorological Department) and Climatological Research Unit Time Series (CRU TS 3.21) have been utilized. An increase in surface temperature and decrease in rainfall for …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 53–65 Read article
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Impact of Polymer Chemistry on Population and Land Use Pattern to Identify Black Spot
Abstract: The incorporation of polymer chemistry has become more essential in the design and upkeep of roadways, greatly improving their strength, adaptability, and overall effectiveness. The use of polymers in road building mainly focuses on the alteration of bitumen (asphalt) and the creation of novel pavement materials. The roads are one of the best and most suitable modes of transport for every person in India, but in this highly populated country, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 540–548 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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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article