Search
1965 articles for “Art” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Deep Learning Algorithms for Medical Image Encryption to Ensure Secure Data Transfer
Abstract: Deep learning has significantly impacted various fields, including medical imaging, by offering new ways to encrypt medical images for secure data transfer. This research work examines how deep learning algorithms are used to enhance medical image security during transmission. Given the high sensitivity and privacy requirements of medical data, it’s crucial to maintain its confidentiality. Traditional encryption techniques, while reliable, often struggle with issues like scalability, computational efficiency, and the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 28–36 Read article
-
Intelligent Medical Devices and Robotics in Modern Healthcare: Technological Advancements and Economic Considerations
Abstract: The integration of robots and intelligent medical devices in intensive care units (ICUs) represents a significant advancement in healthcare technology. These systems, including robotic assistants, automated monitoring tools, and AI-powered diagnostic devices, are designed to enhance patient care, streamline workflows, and reduce human error. Robots in the ICU can assist with routine tasks such as medication delivery, patient repositioning, and even basic surgeries, enabling healthcare professionals to focus on critical …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 18–27 Read article
-
Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
-
Flame-Retardant Polymeric Materials: Recent Advances and Future Directions
Abstract: This review explores essential flame-retardant polymers that play a vital role in various industries such as electrical & electronics, automobile, manufacturing, and firefighting. This review also highlights the latest progress in the design and synthesis of flame-retardant polymers, highlighting novel approaches such as the incorporation of nanomaterials, bio-based flame retardants, and the use of intumescent systems. Recent advancements include high-throughput screening, computational design, bio-based and sustainable flame retardants, self-healing materials, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 125–132 Read article
-
Emerging Trends in Drones across Multiple Sectors
Abstract: Drones, also known as unmanned aerial vehicles (UAVs), have become increasingly popular for their adaptability, affordability, and advanced functionalities. Originally developed for military purposes, they are now widely utilized across diverse sectors such as agriculture, filmmaking, and search and rescue missions. The impact of drones has been significant in various domains, such as reducing human casualties, providing more accurate information, increasing efficiency and cost reduction, and improving crop yields. Nonetheless, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
-
Utilizing Machine Learning for Waste Analysis
Abstract: The Internet of Things can be expanded to include any physical object with an IP address that allows data to be transmitted over a network by installing electronic devices such as networking hardware, sensors, and software. The Internet of Things (IoT) offers enhanced connectivity for an array of devices, services, protocols, and applications. It is further defined by its diverse nature. Not just in houses and smart cities has IoT …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
-
Real-Time Supply Chain Monitoring with Blockchain: A Decentralized Approach
Abstract: This study presents the development and implementation of a Blockchain-Enhanced Shipment Management and Tracking System (SMTS) to address key challenges in the logistics and shipping industry, such as inefficiencies, lack of transparency, security concerns, and high operational costs. Utilizing blockchain technology, particularly Hyperledger Fabric, the SMTS creates a decentralized, immutable ledger that enhances real-time shipment tracking, ensures data integrity, and improves security by reducing fraud and unauthorized tampering. Smart contracts …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
-
The Heart of Charani Poetry: An AI Interpretation of Emotional Resonance
Abstract: Poetry has long been a means of expressing emotions and ideas, yet understanding the emotional depth within poems can be challenging using traditional computer-based tools. This study explores the emotions embedded in Charani poems, an important genre in Indian literature, through the lens of their distinctive poetic style. The primary objective is to develop a novel method of analyzing emotions in Charani poetry, contributing to the broader field of emotion …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 34–39 Read article
-
Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
-
Smart Air Filtration Systems for Cities: A Technological Approach to Reducing Urban Pollution
Abstract: Urban air pollution is considered one of the main ecologically critical issues of the 21st century since it threatens citizens' health through respiratory diseases, pathologies of the cardiovascular system, and even premature death. Regarding an extremely high level of pollution in large cities, it becomes necessary to realize technological solutions which could avoid the negative impact of this phenomenon. Smart air filtration systems have emerged as promising solutions for urban …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 2, 2024 · pp. 27–42 Read article
-
Talk o matic (A prompt chatbot)
Abstract: This study represents the investigation, evolution and implementation of a prompt-based chat-bot that is developed by using Gaianet.ai and the Llama API that give the answer until we say exit. The main goal of this research work is to create and develop a conversational agent capability of answering a suitable and humane base array of user questions with accuracy and material list. In an era, where automated communication are becoming …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 1–15 Read article
-
Automatic Number Plate Recognition Based Image Processing
Abstract: In most countries, traffic control and vehicle owner identification have become important problems. It is almost impossible to identify vehicle owners who break rules of the traffic, especially those driving at high speeds. Another problem inhibits traffic officers from catching the offenders in most cases because solving traffic offenders involves retrieving license plate numbers from fast-moving vehicles. Automatic Number Plate Recognition (ANPR) systems have been developed as an effective solution …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 33–40 Read article
-
Harnessing AI and NLP to Transform Pharma Education Personalization, Learning, and Skill Development
Abstract: Particularly with NLP technologies, it is revolutionizing pharmaceutical education, enhancing human creativity, personalizing learning, and improving student outcomes. AI models like those from Open AI’s Chat GPT are increasingly integrated into educational practices that offer a solution to issues, such as teacher shortages, resource limitations, and the inefficient use of traditional teaching methods. This paper explores the diverse ways through which AI and NLP technologies are transforming pharma education within …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 7–13 Read article
-
A Comprehensive Review on Pharmacological and Therapeutic Uses of Azadirachta Indica in the Treatment of Various Diseases
Abstract: In ancient medicine, the majority of illnesses were treated with plants and phyto-compounds. The most beneficial traditional medicinal plant is Azadirachta indica (Neem). In Ayurveda, it has several therapeutic effects. One of the most adaptable medicinal herbs, it exhibits a broad range of biological action. It possesses medicinal qualities, including anti-microbial, and high efficacy and safety agents. The biologically active components of this plant have a wide range of uses. …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 14–25 Read article
-
Quantitative Approaches to Legal Decision-Making: The Mathematics of Justice
Abstract: The research paper examines the application of quantitative approaches to decision-making in legal systems, presenting the concept of "mathematical justice." As legal systems grow increasingly complex, the adoption of statistical and data-driven methods can provide valuable insights, offering clarity and consistency to judicial processes. By leveraging these methods, courts and policymakers can make more informed, evidence-based decisions, enhancing both fairness and accountability within the justice system. The paper is divided …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 27–31 Read article
-
Responses of Phytoplankton Community Structure to Polycyclic Aromatic Hydrocarbon Constituents in Imo River, Oyigbo, Niger Delta, Nigeria
Abstract: Phytoplankton perform a pivotal role in the food chain and serve as indicator species in environmental studies. Polycyclic aromatic hydrocarbons (PAHs) are toxic group of divergent chemicals with two or more aromatic rings coalesce side by side representing serious persistent organic contaminants posing environmental risk to aquatic life and human. Imo River receive contaminants from illegal oil refinery. The study was conducted to assess the responses of phytoplankton community structure …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 1, 2025 · pp. 45–53 Read article
-
A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
-
Management of Varicose Veins: A Review of Literature
Abstract: Lower extremities venous insufficiency is a frequent disorder that can cause a variety of symptoms, such as ulceration, soreness, swelling, and bulging leg veins. Whereas there is many other treatment choices, the more recent endovascular treatments are simple, safe, rapid, and very effective at reducing symptoms. Foam sclerotherapy, thermal ablation, and mechanical chemical ablation are minimally invasive endovascular techniques commonly used in the treatment of varicose veins. This review article …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 1, 2025 · pp. 17–21 Read article
-
Real-Time Object Detection and Tracking in Traffic Surveillance: Implementing Algorithms That Can Process Video Streams for Immediate Traffic Monitoring
Abstract: The rapid growth in urban development and traffic congestion calls for adopting high standards of traffic surveillance systems for monitoring. This paper reviews the current advancement and future trends of real-time object detection and tracking technology and its implications for traffic surveillance. Conventional approaches to traffic monitoring can provide more or less accurate data, but they are not easily scalable and cannot cope with rapidly changing conditions typical within urban …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 18–39 Read article
-
India’s Position in Mobile Computing Technology
Abstract: India has emerged as a significant player in the global mobile computing technology landscape, driven by its large, tech-savvy population, rapidly growing digital economy, and government initiatives promoting digital transformation. The country has become one of the world's largest smartphone markets, fostering innovation and adoption of advanced mobile technologies such as 5G, AI, and IoT. Indian startups, alongside global technology giants, are contributing to advancements in mobile applications, cloud computing, …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 28–32 Read article