Search
675 articles for “Novel”
-
Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
-
Design and Implementation of an IoT-Based Power Theft Detection System Using Sensor Networks
Abstract: With the increasing demand for efficient energy distribution and consumption monitoring in smart grid systems, the need for robust power theft detection mechanisms becomes paramount. This project proposes an IoT-based solution utilizing energy metering to detect instances of power theft within different segments of the distribution network. The system employs three types of energy meters: Distribution Point (DP), Pole, and Domestic meters. Every meter is positioned thoughtfully to track the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
-
Sense Wear: Empowering Accessibility for the Visually Impaired
Abstract: “Sense Wear: Empowering Accessibility for the Visually Impaired ”This paper presents a novel approach to enhancing accessibility for visually impaired individuals through the integration of computer vision technology with wearable garments, specifically hoodies. The proposed system leverages object recognition algorithms to assist users in identifying and navigating their surroundings independently. By embedding a small camera and processing unit within the hoodie, real-time visual data is captured and analyzed to detect …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
-
Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
-
An Effective Convolutional Neural Network for Identifying Cancer Blood Disorder Cells Using Microscopic Images
Abstract: Blood, bone marrow, and lymphatic systems are all impacted by hematological cancer is known as a cancer blood disorder. Blood malignancies and various blood disorders pose significant health challenges across all age groups. Early disease detection is essential for effective cancer blood disorder treatment and management. If a blood cancer is not identified in time, it may be hazardous. It results in abnormal white blood cell production by the bone …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 29–35 Read article
-
Anti-hyperglycemia Effects of Plant Secondary Metabolites Towards PKA/CREB Pathway Activation in Diabesity
Abstract: Objective: Diabesity, the amalgamation of diabetes and obesity, presents a significant global health challenge. This research carefully examines how plant secondary metabolites influence glucose regulation in diabetes using the PKA/CREB pathway, paying particular attention to diabesity—the combination of diabetes and obesity. Understanding the complex ways in which these metabolites affect metabolic health will help to identify new treatment approaches for managing diabetes and its associated problems. By conducting a thorough …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 33–50 Read article
-
Autonomous Infection Control System
Abstract: Escalating problems arise mainly at hospitals due to transmission of microbes through air, which causes life threatening situations. Doctors, nurses and other members are more vulnerable to diseases from within the place. PPE kits and other disinfecting procedures require an in-human presence to do the work, which makes it more challenging and puts the person's life at risk. In current scenarios, human presence is required for sanitising and cleaning procedures, …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 12–18 Read article
-
Whispers of the Microbial World: Unveiling Bacterial Dialogues through Quorum Sensing
Abstract: Quorum sensing is a special way of bacteria by which they can regulate their own gene expression as per the population density of the bacteria. It is basically a type of cell-to-cell communication pathway used by the microbes. The signal molecule which helps in this mechanism are called auto inducer(AI). As the mechanism depends by changes in the cell density, so when the cell density reaches to the threshold cell …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
-
Extended Spectrum Beta-Lactamase Production By Acinetobacter baumannii Isolated From Hospital Environment
Abstract: Extended spectrum β-lactamases production was determined by Double Disc synergy test for twenty one bacterial isolates of Acinetobacter bumannii isolated from the hospital environment. This study investigates the prevalence, genetic mechanisms, and clinical implications of ESBL production by A. baumannii. We employed molecular techniques to identify and characterize ESBL genes in clinical isolates, alongside evaluating their susceptibility profiles against a range of antibiotics. These resistant strains were notably associated with …
Published in International Journal of Antibiotics · Vol. 2, Issue 1, 2025 · pp. 71–78 Read article
-
Innovative CNN Strategies for Superior Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a fundamental problem in the field of computer vision and machine learning with numerous applications, such as postal code recognition, bank check processing, and digitizing historical documents. Convolutional Neural Networks have demonstrated remarkable success in various image recognition tasks, making them a popular choice for digit recognition. In this study, we present an enhanced approach to handwritten digit recognition using CNNs. Handwritten digit recognition plays a …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
-
Formulation and development of Lamivudine Nanoemulsion by using Emulsifying Polymers and It’s Evaluation
Abstract: Nanoemulsion is a novel approach to medicine delivery that helps to increase the bioavailability of drugs that aren’t particularly soluble in water. In this research work, nanoemulsion of Lamivudine was formulated by using polymers such as SPAN 80, TWEEN 80 and Whey protein concentrate with the help of Ultrasonication technology. The formulation was optimized. It was evaluated by assessing pH, viscosity, turbidity, in vitro franz diffusion study, particle size distribution, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 22–35 Read article
-
Nano- Catalysts for Enhanced Performance in Hydrogenation Reactions
Abstract: The development of nano-catalysts has revolutionized the field of hydrogenation reactions, offering unparalleled efficiency and selectivity. This study explores the synthesis, characterization, and application of novel nano-catalysts designed to enhance hydrogenation processes. By leveraging advanced materials science techniques, we have engineered catalysts with precisely controlled particle sizes, shapes, and surface properties. These nano-catalysts exhibit remarkable activity and stability, attributed to their high surface area-to-volume ratios and unique electronic structures. Our …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 22–27 Read article
-
Artificial Intelligence Based Portable Robot Device for Autonomous Venepuncture
Abstract: Venepuncture is a source of medical hurt and is necessary for a wide range of therapeutic procedures. Venpuncture-related complications worsen in difficult settings, where the success rate is largely dependent on the physiology of the patient and the skill of the practitioner. It is difficult to find the vein for infants, adolescent girls, obese and elderly people and it is causing severe pain in the traditional manual blood drawing system. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 35–38 Read article
-
Heterocyclic Substituted Flavones: Bridging Natural Products and Medicinal Chemistry
Abstract: Heterocyclic substituted flavones represent a unique and promising class of flavonoid derivatives, gaining significant attention in recent years due to their diverse and enhanced biological activities. These compounds are characterized by the incorporation of heterocyclic moieties such as quinoline, pyridine, thiazole, imidazole, oxazole, and pyrazole into the flavone structure, which significantly alters and often enhances their bioactive properties. This structural modification has made heterocyclic flavones particularly appealing as candidates for …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 23–30 Read article
-
Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
-
Intimate Mappings in Interval-Valued Fuzzy Metric Space: A Few Fixed-Point Findings
Abstract: The purpose of this study is to extend some previously established fixed point results for interval valued fuzzy metric space. For this objective, various contractive criteria with respect to an intimate mapping are applied. We employ intimate mapping in interval valued fuzzy metric space (IVFMS) to validate some well-known fixed point results. Our findings complement and generalize the recent findings of the common fixed point theorem for intimate mapping. The …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 16–23 Read article
-
Voices of Confinement and Rebirth: The Yellow Wallpaper, Daddy and Lady Lazarus
Abstract: Female authors in contemporary literature play a crucial role in reshaping the portrayal of mental illness, offering nuanced narratives deeply rooted in women's experiences. They address the complex intersection of mental health and societal expectations, exploring themes such as gender roles, body image, and trauma with sensitivity. These authors highlight women's unique challenges in treatment systems and advocate for gender-sensitive approaches in mental healthcare. Through diverse and complex characters, female …
Published in Emerging Trends in Languages · Vol. 1, Issue 2, 2024 · pp. 21–30 Read article
-
Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
-
Fiber Reinforced Concrete (FRC) as Composite Material in Pavement
Abstract: Conventional bituminous pavements are extensively utilized across India, yet they face challenges such as limited impact resistance, low tensile strength, and brittleness compared to concrete alternatives. Despite concrete's superior strength and durability, it exhibits deficiencies in ductility, fatigue resistance, and ability to withstand substantial deformations. This research delves into the feasibility of fiber-reinforced concrete as a composite material for pavements, with a primary goal of extending the service life of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 137–143 Read article
-
Augmented Reality (AR) and Virtual Reality (VR) Based Learning System
Abstract: Augmented reality (AR) and virtual reality (VR) technologies have transformed digital experiences by offering immersive and interactive environments and simulations that boost engagement and learning. Over the past twelve years, these technologies have significantly impacted education, offering novel approaches to teaching and training. Despite their potential, AR and VR are still in the emerging stages and require substantial customization and investment to meet the growing educational demand. Their applications are …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 72–79 Read article