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404 articles for “complex algorithms”
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Virtual Instrumentation System for 3D Tilt Estimation of Moving Object using MEMS Multi-Sensor Fusion
Abstract: This paper considers the problem of 3D tilt estimation of moving object and development of virtual instrumentation (VI) based system prototype with motion-user interface using six degree of freedom data from MEMS accelerometer and gyroscope. To overcome the inherent limitations of both the sensors and minimize accelerometer noise error and gyroscope drift error, the sensor signals are fused using established Kalman filter and newer, simple and equally efficient complementary filter. …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 3, 2016 · pp. 1–20 Read article
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Challenges in Parallel Computing for Big Data Analytics
Abstract: The integration of parallel computing into the realm of big data analytics promises accelerated processing speeds and enhanced scalability, but it is not without its formidable challenges. This study explores the multifaceted hurdles faced in the pursuit of efficient parallel processing for large-scale data analytics. The intricate task of distributing and partitioning massive datasets across multiple processing units demands adept strategies to ensure equitable workloads. Load balancing emerges as a …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Handling Inflections for Translation and Part of Speech (POS) Tagging of Bengali Words
Abstract: AbstractThis paper presents a translation scheme and parsing strategy of Bengali words aiming to develop a machine translation (MT) system for Bangla to English. In this research, we have focused large diversity of the complex inflection variations in Bengali language. As the inflected words without exception are not readily available in the dictionary, identifying the root words or stems from inflected words are essential for correct translation. In our work, …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 27–34 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Review of E-Commerce Information Extraction and Classification Technique for Recommendation
Abstract: E-commerce business sites are generally looked with complex item models and particulars, assorted utilization propensities, different kinds of requests. They will prompt low activities proficiency and business handling speed. By improving the speed of item data refresh, input on client interview and the request procedure, E-commerce office activity specialist co-ops can keep these issues. The figuring of the algorithm procedure of the heaviness of assessment files. The examination objective is …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 2, 2019 · pp. 1–16 Read article
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Personalized Therapy Using Drug Delivery Devices
Abstract: The persistent challenge in modern medicine lies in inter-patient heterogeneity, rendering standardized drug dosing protocols suboptimal for many chronic conditions. Traditional pharmacokinetics fail to account for real-time biological fluctuations, leading to cycles of ineffective treatment or dose-limiting toxicity. This paper explores the critical intersection of advanced drug delivery devices (DDDs) and personalized medicine, positioning these technologies as the vital link translating genomic and biological data into tangible, patient- specific interventions. …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 53–62 Read article
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Human-Robot Interactions and Social Robotics in Legal, Ethical, and Social Dimensions
Abstract: Human-robot interaction and social robotics have emerged as transformative fields, reshaping human engagement with intelligent machines. This evolution brings profound legal, ethical, and social challenges that demand critical exploration. Also, legal firms often struggle to keep pace with the advancements, raising questions about liability, accountability, and privacy in human-robot interaction. However, social robots, designed to operate in dynamic human environments, present ethical dilemmas around autonomy, trust, and preserving human dignity. …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 09–11 Read article
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Enhancing Healthcare Record Modeling Through Graph Convolutional Networks: Overcoming Challenges and Advancing Data Management and Analysis
Abstract: Modeling healthcare records data as a graph database presents various challenges due to the complex nature of healthcare information and its interconnectedness. In this research endeavor, our primary objective is to pinpoint the major obstacles within this field and present potential remedies to tackle them effectively. By leveraging machine learning techniques, we aim to enhance the efficiency and accuracy of healthcare record modeling, facilitating better data management and analysis. One …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 39–50 Read article
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Ramifications of Artificial Intelligence and Cyber Security
Abstract: Artificial intelligence (AI) has pros and cons for cyber security: AI can improve network security, anti-malware, and fraud detection. AI can simulate cyberattacks, automate responses, and analyse enormous databases. AI-powered phishing and deepfakes are cyber risks. AI can potentially be attacked and become a liability for corporations. AI has transformed cyber security, bringing both new opportunities and challenges. AI-powered tools discover abnormalities faster, automate threat responses, and improve threat detection …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 40–45 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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COLOUR IMAGE ENCRYPTION AND COMPRESSION USING HYPER-CHAOTIC SYSTEM AND DCT DICTIONARY
Abstract: Image encryption and compression has received a lot of attention nowadays since large amount of information is transmitted through public networks. Encrypting the image after compression will sacrifice the flexibility and increases the complexity of the process. So the better method is the joint operation of encryption and compression in single step. The hyper-chaos based colour image image encryption and compression which is based on the scrambling and diffusion is …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 27–32 Read article
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Smart Fitness Assistance using AI
Abstract: In computer vision, human body pose estimation is the study that aims at predicting the poses of human body parts and joints. In this project, visual languages are built based on skeleton poses. We present a real-time body tracking pipeline that predicts body posture. Once the joints of the body have been localised to represent a specific part of the human body, we can use them for wider ranges of …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 11–16 Read article
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Human Following Robot Using Arduino Uno
Abstract: A human-following robot is a mobile autonomous system designed to detect, track, and follow a specific individual in real-time while navigating through dynamic environments. This feature is essential for various applications, including delivery services, healthcare assistance, personal support, and collaborative industrial operations. It enhances efficiency, safety, and user experience by enabling intelligent and responsive interactions, making it an asset in both commercial and personal environments. The robot integrates cameras, LiDAR, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 26–31 Read article
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Study on Network Load on Various Mobile Ad Hoc Network Protocols Under the Random Walk Mobility and Random Way Point Model
Abstract: AbstractMobile ad hoc Network consists of mobile networks which create an underlying architecture for communication without the help of traditional fixed-position routers. MANET is group of mobile nodes which uses multi hop transmission for communication. Routing in MANET is challenging task, moreover presence of malicious nodes make the overall network very insecure furthermore dynamic nature of moving nodes adds to the complexity Mobility of the nodes has substantial influence on …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 21–25 Read article
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Swarm Intelligence: Nature-Inspired Problem Solving
Abstract: Swarm Intelligence (SI) is a computational paradigm inspired by the collective behavior of natural systems, such as flocks of birds, schools of fish, and colonies of ants. It involves decentralized, self- organized systems where simple agents follow simple rules, yet their interactions lead to complex global behaviors. SI has gained significant attention in recent years due to its potential applications in solving optimization problems, routing, scheduling, and artificial intelligence tasks. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Navigating Risk-Based Approaches in Quality Assurance: Strategies, Implementation, and Impact
Abstract: This review investigates the implementation of a risk-based approach within Quality Management Systems (QMS) as stipulated by ISO 9001:2015 regulations. It scrutinizes the challenges organizations encounter when transitioning to ISO 9001-2015 requirements, particularly focusing on the alignment of conceptual frameworks and processes among stakeholders. A key objective of this review is to propose a refined definition of "quality risk" and "risk-based thinking in QMS" to address the idiosyncratic characteristics of …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 Read article