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1331 articles for “AI-Based System”
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Emotions and Artificial Intelligence in Finance: Exploring the Relationship
Abstract: The integration of Artificial Intelligence (AI) into financial systems has profoundly transformed the industry, providing unprecedented efficiency, accuracy, and speed in decision-making processes. These technological advancements have streamlined operations, reduced human errors, and enabled more informed decision-making based on vast datasets analyzed in real-time. However, the role of emotions in finance remains a critical factor that cannot be ignored. Human emotions, such as fear, greed, and optimism, frequently drive market …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–17 Read article
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The Emergence of Personal Desktop Voice Assistants for Effortless Task Management
Abstract: In an era defined by rapid technological advancement, desktop voice assistants have emerged as crucial tools, not only for enhancing productivity but also for fundamentally reshaping digital interactions. This study delves into the transformative potential of voice-enabled artificial intelligence in task automation, emphasizing its profound impact on efficiency, accessibility, and overall user experience. By harnessing the power of natural language processing and machine learning, these desktop assistants facilitate hands-free operation, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article
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Trends, Challenges, and the Future of Unmanned Aerial Systems
Abstract: The rapid evolution of unmanned aerial vehicles (UAVs), commonly referred to as drones, has transformed numerous domains — from military surveillance and logistics to precision agriculture and atmospheric research. This paper examines the current state of drone technology, industry trends, regulatory frameworks, socio-economic impacts, ethical considerations, and future research directions. With contributions from multidisciplinary studies, this review emphasizes emerging technologies, performance metrics, risk factors, and opportunities for innovation. In recent …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 27–33 Read article
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Development of Automated System for Facilitating the Movement of Differently Abled Persons
Abstract: There are numbers of people who suffer from partial paralysis (paresis) or other neurological strokes.The proposed work mainly focuses on physical therapy to improve the level of mobility of strokevictims. For helping neurologically damaged patients during therapy, an upper limb robotic orthoticis developed. The system consists of four servo motors which are used for pattern generation for thefour fingers with a crank-shaft mechanism attached, which converts their rotational motion intolinear …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 20–27 Read article
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Formulation and Development of Gastroretentive Hydrogels of Glipizide
Abstract: The aim of the present study was to develop a pH sensitive gastroretentive drug delivery system for an antidiabetic drug glipizide, based on gas formation technique using 32-factorial design, in order to prolong the gastric residence time and increase the overall bioavailability of the dosage form, since the absorption is erratic in diabetic patients. The system consists of the drug, glycol chitosan (5% w/w) and aqueous PVA solution (10% w/w) …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 4, Issue 1, 2017 · pp. 1–7 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Catalyst, Mixed Catalyst and Additive Effects on the Oscillatory Behaviour of Pyrogallol based Chemical Oscillator
Abstract: The present work is aimed to investigate the effect of the metal ions used as single as well as mixed catalysts and Mo(VI) ion as additive on the oscillatory behaviour of the reaction system comprising of pyrogallol (1,2,3-trihydroxybenzene) as organic substrate and inorganic bromate as oxidant in aqueous sulphuric acid medium (1.5 mol Lï€1). The reactions were monitored both spectrophotometrically and potentiometrically. From kinetic study, the order of reactivity of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 5, Issue 2, 2014 · pp. 11–19 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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An Overview Mechatronics Systems Design of Modelica-Based Model Predictive Control Strategies for CO₂ Heat Pump Systems
Abstract: The growing adoption of renewable energy technologies poses challenges to energy supply stability, necessitating increased flexibility in energy demand. This paper introduces a Modelica-based Model Predictive Control (MPC) strategy aimed at keeping the supply water temperature within the range of 55°C to 75°C while minimizing energy consumption and electricity expenses throughout a year. A comprehensive, high-fidelity model representing a school building in Oslo, Norway, was developed using Modelica and exported …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 15–27 Read article
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Sustainable Practices in Urban Horticulture: A Review of Green Infrastructure
Abstract: Urbanization is expanding at an unprecedented rate across the globe, which brings about significant challenges, including environmental degradation, climate change, and the rapid loss of biodiversity. As the population in cities grows and urban areas become increasingly congested, the role of urban horticulture is becoming vital in improving the livability and sustainability of these environments. Urban horticulture plays an important role in enhancing both the ecological and social fabric of …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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IoT-Based Home Automation System Using ESP8266 and Google Assistant
Abstract: This research paper discusses a smart home automation system When the Internet of Things is implemented, a simple house can be converted into a smart home with better automation and security. This paper aims to create a voice/text- controlled home application that will help users control their appliances remotely. Switching appliances ON or OFF as per their requirements by just sending text SMS instructions or voice commands. Even if the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 33–39 Read article
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VeriSci—AI-Based Multi-Modal Research Assistant
Abstract: The exponential growth of scientific literature is a major bottleneck for academic researchers who want to efficiently discover, assess, and synthesize relevant scholarly knowledge. Traditional methods of literature review are heavily reliant on manual keyword searching, human screening, and subjective data extraction, making them time-consuming, susceptible to cognitive bias, and less effective as the tidal wave of information continues to grow. To overcome these limitations, this study introduces VeriSci, an …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 20–27 Read article
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Fire Alarm and Monitoring System Using IoT
Abstract: AbstractThis paper outlines the design with Arduino based device by means of IoT of a home fire alarm. The project is intended for the protection of the home and business, where the main aim is to prevent fire incidents that have happened to people, businesses and property inside the city. It utilizes board Arduino Uno with chip ATmega328. The key controller used is definitely the ATmega328 which controls the fire …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 1, 2020 · pp. 10–20 Read article
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Comparative Analysis of AI-Enabled Conversational Agents and Recommendation Systems for Real-Time Customer Engagement in E-Retailing
Abstract: The rapid deployment of artificial intelligence (AI) in e-retailing has revolutionized the way companies interact with customers in real time. Conversational agents and recommendation engines are two of the most popular AI techniques used to influence customer engagement, while empirical knowledge on the relative effectiveness of these approaches is rare. To bridge this gap, the current research examines and compares the impact of AI-driven conversational agents to that of AI-oriented …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 15–32 Read article
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Smart Fan Speed Regulator using ESP32 With Temperature-Based Automatic Control and IoT Monitoring
Abstract: The increasing demand for energy-efficient and intelligent electrical appliances has created a need for automated systems that can regulate their operation according to changing environmental conditions. Conventional ceiling fans generally require manual speed adjustment, which may result in unnecessary energy consumption when the fan continues to operate at a higher speed than required. To overcome this limitation, this project proposes a Smart Fan Speed Regulator using an ESP32 microcontroller with …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 2, 2026 Read article
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IOT Based Effortless Gas Leak Detection and Reservations
Abstract: The paper proposes an IOT Based Effortless Gas Leak Detection System for LPG and CO, utilizing gas sensors and a microcontroller. Positioned strategically, the sensors monitor air quality, triggering alarms if LPG or CO levels surpass safety thresholds.We plans to use this product for determination of gas leakage of LPG from household appliances and Carbon Monoxide produced from household appliances,vehicles and air conditioners with the help of MQ series gas …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 1, 2024 · pp. 33–41 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article