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710 articles for “data patterns”
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 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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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning
Abstract: The stock market is a fascinating sector of the economic research. It comes in a number of varieties. Several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research projects. Stock price prediction can help people a great deal by helping them understand where and how to invest, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 8–13 Read article
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Experimental investigation on non-linearity in understanding large scale fires
Abstract: Fire doesn't spread in a uniform manner it has an unpredictable nature. The pervasive uncertainty associated with large-scale fires has resulted in the irreparable loss of invaluable human lives, natural resources, critical infrastructure, and systems. To combat this significant issue, substantial financial investments are made annually in research endeavours aimed at preventing and mitigating such devastating incidents. These dedicated research efforts strive to develop innovative strategies, cutting-edge technologies, and robust …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 1, 2023 · pp. 27–40 Read article
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Maths and Artificial Intelligence: Parallel Yet Intersecting Approach in School Curriculum
Abstract: Understanding students' level of math and working with them in handling their doubts, queries, deciding how they want to approach math, not only as a subject, but a way of interpreting it, thinking, living it, in a less stressed, anxiety and unnecessary troubles around it, which are generally there. We are studying uses of Artificial Intelligence (AI) in diagnosis of current standing of level of math in students and then …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 24–30 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
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Identifying Trends in Landuse/Landcover Changes in Hisar Tehsil: A LCM Based Approach
Abstract: Land is a source of all basic human needs, (e.g., agriculture, forest, water supply etc.) which is being continuously depleted by various agents. Urban growth and urbanization are considered as one of the major factors responsible for change in landcover dynamics and depletion of land resources. As compared with other landcover classes such as agricultural land, urban land has smaller area coverage but its impact to the surrounding environment is …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 1–8 Read article
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AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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Prediction of Disease by Symptoms Using Machine Learning
Abstract: Machine Learning and data mining, both play the most popular role in analyzing and prediction in the field of health organization. It also helps to uncover different and new patterns in medicinal science. This project is around prediction of disease with help of the symptoms. This project aims to propose a model which will be strongly trained in detecting common diseases so that few of the common diseases can be …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 1, 2022 · pp. 8–11 Read article
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A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy
Abstract: Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 7–21 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 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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Molecular Characterization of Respiratory Viral Infections and Co-Infections in Pediatric Patients Using FilmArray™ Multiplex PCR in a Tertiary-Care Hospital, South India
Abstract: Respiratory tract infections (RTIs) are a major cause of pediatric morbidity worldwide, with viruses, such as respiratory syncytial virus, rhinovirus/enterovirus, influenza virus, adenovirus, and parainfluenza virus, contribute significantly to hospitalizations. Conventional diagnostic methods often require prolonged processing times, which can delay clinical decision-making. Rapid molecular platforms, such as the FilmArray™ Panels, offer timely and comprehensive pathogen identification. This study aimed to evaluate the prevalence, seasonal trends, and co-infection patterns of …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 57–66 Read article
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Emerging Trends in Social Media Usage: A Study of Teenagers of SRINAGAR
Abstract: In recent years, social media has attained considerable importance throughout the world. It is because of its unique advantages and greater outreach that millions of people are using it every day. Among the wide range of the social media available, social networking sites have become one of the most popular social media platforms used today. Thus, the inception of social networking sites like Facebook, Twitter, Instagram, Skype, YouTube, etc. have …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 3, 2018 · pp. 1–6 Read article
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IoT Integration in Sustainable Agriculture
Abstract: The increasing demand for food production, environmental concerns, and resource limitations have necessitated the adoption of Internet of Things (IoT)-based innovative farming solutions. The current paper introduces an IoT-based system that integrates hydroponics, aquaponics, and poultry to promote sustainability, resource utilization, and agricultural productivity. Conventional farming practices are riddled with ineffective use of resources, uncertain environmental effects, and expensive operations. The new system facilitates real-time monitoring, automated decision support, and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 69–84 Read article
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A Prospective Observational Study of Prescription and Quality of Life: Gastroesophageal Reflux Disease in Territory Care Hospital
Abstract: Aims and objective: The main aim of the study is to know the quality of life in GERD patients and the management of GERD with the help of prescription patterns and patient counseling. Methodology: After receiving approval from Departmental Research Committee AIPBS with the reference no AIPBS/2021/4586/11 on dated 30 September 2021 and also approved from the Ethics Committee of Biomedical and Health Research, Adesh University with the reference no …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 14–21 Read article
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Data-driven Comprehensive Predictive Model Leveraging Market Insights and Topographical Factors for Crop Productivity and Profitability
Abstract: For global food security and economic expansion, the agricultural industry is essential. However, farmers face numerous challenges such as unpredictable weather patterns, soil degradation, and market volatility, which affect crop productivity and profitability. This article proposes a prediction model that leverages market trends and topographical factors to optimize crop productivity and maximize profits. The model is designed using machine learning techniques and takes into account variables such as soil type, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 21–30 Read article
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Anthropogenic Intensification and Emerging Air Pollution Patterns across the Western Himalaya: Multi-Year Spatiotemporal Case Study
Abstract: Anthropogenic intensification is profoundly impacting air quality within vulnerable mountain ecosystems, yet the availability of long-term, high-resolution data from the Western Himalaya is strikingly limited. This study provides a detailed multi-year (2020-2024) spatiotemporal analysis of particulate matter (PM10 and PM2.5), nitrogen oxides (NOₓ), ammonia (NH3), and ozone (O3) concentrations across contrasting anthropogenic settings—specifically, tourist influx zones such as Dharamshala and industrial hotspots like Damtal in Himachal Pradesh, India. Key pollutants …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 7–25 Read article