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794 articles for “Tech-based Solutions”
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Revolutionizing Document Analysis Using AI Based Text Extraction Methods
Abstract: The AI Document Analyzer is an innovative application created to revolutionize how we engage with and comprehend textual data. By integrating a range of advanced technologies, including Next.js, Drizzle ORM, OpenAI, Stripe, TypeScript, and Tailwind, this tool offers a comprehensive solution for document comprehension. Central to its functionality is a chat-based interface powered by the ChatGPT API, allowing users to engage in natural language conversations with their uploaded documents. This …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 40–46 Read article
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Past, Present and Future of Passive Optical Network
Abstract: ABSTRACTDemand for faster and cheaper access network has been rising due to the rapid growth of Internet with new generation of services and applications. Optical fiber has been envisioned for delivering broadband services for more than 30 years and becomes almost essential recently. To address the present and future bandwidth demand, broadband fiber access technologies such as Passive Optical Networks (PONs) are a potential solution. Mostly, Time Division Multiplexing (TDM) …
Published in Trends in Opto-electro & Optical Communication · Vol. 1, Issue 1-3, 2011 · pp. 16–31 Read article
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A Review on Different Techniques Used for Feature Extractions from Mammogram of Breast Cancer
Abstract: Breast cancer detection is still a complex and challenging problem. Mammogram contains low signal-to-noise ratio (SNR) and a complex structured background so identifying cancer tissues using this technique is a time consuming task even for expert radiologists. Therefore, there is still a need to enhance imaging in digital mammogram, where enhancement in medical imaging is the use of computers to make the image clearer. Studies show that relying on pure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 9–15 Read article
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Analysis of Cellular Positioning Techniques in UMTS Networks
Abstract: Estimation of the location of a Mobile Station accurately is a key requirement to effectively provide a wide range of Location Based Services over mobile networks. Applications requiring positioning in mobile networks gained importance in recent years. This gives rise to the various location based services (LBS). Hence developing cellular positioning techniques have been a key research problem, with numerous localization solutions been proposed. There are several methods present to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 1, Issue 1, 2014 · pp. 1–10 Read article
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Raspberry Pi Based Tactical Autonomous Surveillance System
Abstract: In the ever-evolving realm of security and surveillance, the need for autonomous systems capable of operating in challenging environments has become increasingly evident. The Raspberry Pi-Based Tactical Autonomous Surveillance and Self-Destruction System addresses this need by combining advanced sensor technology, robust communication capabilities, and a self-destruction mechanism to provide a comprehensive security solution. This project proposes a Raspberry Pi-based tactical autonomous surveillance system that can be used to monitor and …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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Innovative Porcelain Insulators: Prolonged Durability and Anti-Contamination Efficiency via Nano-TiO2 Photocatalyst Integration
Abstract: Porcelain has long been a critical material in high-voltage electrical insulation due to its exceptional mechanical, thermal, and dielectric properties. However, environmental contamination and material degradation over time pose significant challenges to its durability. This study investigates the integration of nano-sized titanium dioxide (TiO2) photocatalyst coatings on porcelain insulators to enhance their performance and prolong their operational lifespan. Local clay compositions were analyzed, and a comparative study of untreated and …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 18–23 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
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Prediction of Various Optimal Solutions for Desirable Performance Parameter of Non-edible Oils-based Biodiesel
Abstract: The use of energy has expanded a ton by virtue of the modification in the way of life with the progression of masses. This consistent expansion of energy request began the states of the fossil oil deficiency, regular effects for example nursery impact, an Earth-wide temperature boost and so on. Oil based products are restricted assets of energy; from now on, it is must to look for an elective asset …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 1, 2024 · pp. 25–29 Read article
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Innovating Sustainably: The Role of Generative Design in Sustainable Technology Development
Abstract: As industries strive for sustainability, generative design has emerged as a transformative approach in engineering, offering solutions that minimize environmental impact while optimizing product performance. Based on established features, including material, size, weight, and performance standards, generative design generates an immense amount of design options using machine learning and artificial intelligent algorithms. Unlike traditional design, which relies on human intuition, generative design automates the exploration of solutions, ensuring material efficiency, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 39–45 Read article
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Mitigation of Peak to Average Power Ratio in Orthogonal Frequency Division Multiplexing through SOP-PTS
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a popular multicarrier modulation technology extensively employed in 4G wireless communication systems to transmit data over a dispersive channel. To address the Peak-to-Average Power Ratio (PAPR) issue in OFDM, a technique called Partial Transmit Sequence (PTS) is commonly utilized. The PTS method involves dividing the data block into non-overlapping sub-blocks and then combining them using phase factors to mitigate PAPR. However, the conventional PTS …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 32–39 Read article
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Performance Analysis And Battery Management System Optimization In Electric Vehicles
Abstract: The rapid electrification of the automotive industry has led to an increased need for battery management systems that are not only efficient and safe but also intelligent. BMS is the device that guarantees the best use of the battery, prolongs its life, and allows its safe operation even under different environmental and load conditions. Through the synthesis of literature and industry practices, this paper acts as a tribute to the …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Literature Review and Research Gaps in Power Quality Enhancement: From Conventional Methods to Intelligent Solutions
Abstract: Power quality (PQ) has become a critical concern in modern electrical power systems due to the rapid integration of renewable energy sources, proliferation of power electronic devices, and increasing sensitivity of loads. This paper presents a comprehensive literature review and research gap analysis of power quality enhancement techniques, ranging from conventional approaches to emerging intelligent solutions. Traditional methods, including passive filters, capacitor banks, and synchronous condensers, have been widely employed …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 38–80 Read article
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Biometric Revolution in Automotive Security: Advancing Vehicle Protection Through Bio-Authentication Systems
Abstract: Concerns about security are rising as a result of the quick development of automobile technology and the rise in car theft and illegal entry. Both contemporary smart key solutions and older key-based systems have flaws that call for stronger security measures. By utilizing distinct physiological and behavioral characteristics, biometric authentication offers a novel way to improve vehicle security. Vehicles can provide tailored and extremely secure access control systems by combining …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 12–19 Read article
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Solutions to the Cold Start Problem in Recommender System: A survey
Abstract: Collaborative Filtering (CF) is one of the techniques of recommender system to recommend the items to user based on previously collected preferences of other users. The efficiency of recommendation is mainly depending on how much information about target user and target item available in the system. When this information are not available sufficiently then it creates problem in the system for the new user and new item, which is known …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 3, 2018 · pp. 14–21 Read article
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Smart EV Charging Infrastructure using IoT
Abstract: The Smart EV Charging Infrastructure employs IoT technology, cloud computing, and real-time monitoring to offer an easy and efficient charging experience for electric vehicle owners. The system is designed to enhance charging station operations by incorporating secure transactions, integration of renewable energy, and automated processes. It includes infrared sensors for slot detection, wireless inductive charging, dynamic billing, and RFID authentication, providing convenience and security. The system incorporates ThinkSpeak and ThinkView …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 13–22 Read article
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article
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IoT-Based Smart Medicine Box with AR Holographic Caregiver and Automatic Liquid Tonic and Pill Dispensing System
Abstract: Medication management is a major challenge for elderly individuals, chronic disease patients, and users who require multiple medicines at scheduled intervals. Missed doses, incorrect quantities, and improper medication handling can reduce treatment effectiveness and create health risks. This paper proposes an IoT-Based Smart Medicine Box with an AR Holographic Caregiver and Automatic Liquid Tonic & Pill Dispensing System to provide a reliable and intelligent medication management solution. The proposed system …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 19–24 Read article
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A Simple Optical Sensor Based System For Monitoring Plant Health Status
Abstract: AbstractPlant nutrition is the basic need for plant growth and productivity. Nutrient monitoring of plants is the key factor for farmers and agriculturalists. Nitrogen is a necessary element for plant growth and development and it is a major component of chlorophyll in plant leaves. Chlorophyll content of a plant is one of the most important natural indicators of plants nutritional stress and the overall health status of plants. Several sensors …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 89–98 Read article