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1143 articles for “research performance”
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Optimizing Marketing Campaigns Using Random Forest and A/B Testing
Abstract: Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels. The success of these initiatives is influenced by various factors, including the type and duration of the campaign, the characteristics of the target audience, the communication channels employed, and the overall efficiency of each strategy. These factors collectively impact key performance metrics such as conversion rates, customer acquisition costs, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems
Abstract: The integration of serverless computing models in e-healthcare systems represents a paradigm shift in healthcare technology infrastructure. This meta-analysis examines the role, benefits, and challenges of serverless architectures in modern healthcare applications, focusing on studies published between 2019 and 2025. Serverless computing offers unprecedented scalability, cost-efficiency, and operational flexibility, making it particularly suited for healthcare applications handling variable workloads such as medical imaging processing, real-time patient monitoring, and electronic health …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 49–58 Read article
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Development of a Low-Cost Autonomous Robot for Obstacle Avoidance Using Ultrasonic Sensing
Abstract: In the evolving landscape of automation, autonomous mobile robots are becoming critical for performing tasks with minimal human intervention. This project presents the design and development of a cost-effective, small-scale obstacle-avoiding robot using an Arduino microcontroller and an ultrasonic sensor. The robot operates by scanning its surroundings, identifying nearby obstacles, and navigating by altering its path in real time. Through intelligent programming and sensor integration, the system achieves smooth, collision-free …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article
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Comparison of K-nearest Neighbor and Artificial Neural Network Classifiers for the Detection of Breast Cancer
Abstract: Breast cancer is the most common type of cancer seen in women in the present day, which is also considered a life-threatening disease. If this cancer can be detected in its early stage it can be a lifesaver for many people around the world. Machine Learning techniques have become one of the hotspots for predicting the early diagnosis of breast cancer. This research work experiments with the two most popularly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 78–83 Read article
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Quantum-Inspired Neural Networks: Accelerating AI for Large-Scale Data Processing
Abstract: Recently, the world of artificial intelligence has been buzzing with exciting ideas inspired by quantum computing, especially when it comes to processing large amounts of data. Introducing the Quantum-Inspired Neural Network (QINN), a novel approach to conventional neural networks that blends concepts from quantum mechanics with machine learning techniques. Unlike typical networks that rely on neurons, QINNs utilize qubit-based representations, enabling them to perform computations in a more flexible and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 12–17 Read article
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Analysis of a Communication Link Performance Across Various Rayleigh Channels in Tropical Climates
Abstract: Tropical regions are characterized by intense and persistent rainfall throughout most of the year, and this environmental condition significantly influences wireless communication performance. The continuous presence of heavy precipitation weakens, scatters, and disrupts radio frequency signals, causing noticeable attenuation during transmission from the source to the destination. As a result, reliable communication becomes challenging, particularly for modern high-speed systems such as 5G networks. To address this limitation and enhance communication …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 06–12 Read article
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Analysis of Crashworthiness of a Saloon Car Fitted with CNG Cylinder
Abstract: There is an increase in demand for compressed natural gas vehicles in India. Due to the high gasoline prices and lack of electric vehicle infrastructure in India, compressed natural gas vehicles are the only feasible option. This research work focuses on the crashworthiness of a saloon car fitted with a compressed natural gas cylinder under rear-collision conditions. Four different candidate materials of the same thickness are chosen for the cylinder …
Published in Journal of Polymer & Composites Read article
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Time Utilization by Hospital Attendants and Housekeeping Staffs in a Tertiary Level Hospital
Abstract: Introduction: Time management refers to the deliberate and conscious management of one's time to effectively allocate it to specific activities, with the aim of enhancing productivity and efficiency. Efficient time utilization can lead to improved employee productivity, streamlined job performance, and effective task completion. Additionally, it enables employees to accomplish necessary tasks and assists organizations in achieving their goals by effectively recording and guiding their activities. The objectives of this …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 1, 2023 Read article
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Minimum Energy Criteria for Machining to Determine Energy-Productivity Relationship
Abstract: In this research segment, cutting rates were changed while depth of cut and feed rate remained fixed. The results of cutting using a standard uncoated carbide insert were compared. Cutting speeds were maintained at a constant. After determining the optimal cutting condition for the equipment and material. To determine optimal tool life and cutting speed, turning operations were performed. In industrial cutting operations, flank wear reduces tool life. For single-point, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 81–94 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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A Critical Review on Carbon Fiber Reinforcement in Various Applications
Abstract: Carbon fiber, celebrated for its outstanding mechanical properties and impressive strength-to-weight ratio, has become a critical material in various industries. This review journal, An In-Depth Study of Carbon Fiber Reinforcement in Diverse Applications, delves into the recent advancements and innovations in carbon fiber technology. The exploration includes its integration into aerospace, automotive, civil engineering, sports equipment, and renewable energy sectors. The aerospace industry leverages carbon fiber for constructing lightweight, fuel-efficient …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 490–502 Read article
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A Survey on Intrusion Detection in Wireless Sensor Network
Abstract: The Wireless Sensor Networks (WSNs) consist of sensor and vehicle infrastructure deployed either on land or in the sea over a selected acoustic field. Such networks are launched in the execution of joint tasks that include monitoring the environmental conditions and collecting measured data. WSNs operate based on an interactive communication among different nodes and ground stations, which provides for real-time data transmission and analysis. This research work gives a …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 51–56 Read article
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Investigating the Surface Defects and Structural Integrity of 3D Printed Hydrogen Storage Cylinders in UAV Applications
Abstract: This research explores the processing and manufacturing challenges of 3D printed polymer composites for high-pressure hydrogen storage in UAVs. The study focuses on addressing surface integrity and structural robustness issues inherent in additive manufacturing. Finite Element Analysis (FEA) was conducted on four thermoplastic polymer ABS, PET-G, HDPE, and Nylon to assess their mechanical performance under 35 MPa of pressure. Results revealed that PET-G and ABS provided better stress distribution and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 161–191 Read article
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Static and Dynamic Analysis of Conventional, Diagrid and Hexagrid Systems Across Different Storey Heights
Abstract: In structural engineering, multi-storey buildings’ seismic resilience in earthquake-prone areas is crucial. The seismic performance of proposed multi-story buildings with different heights (G+13, G+19, and G+27) is thoroughly examined in this study using traditional structural systems that are octagrid and hexagrid. Under seismic zone III conditions, the study evaluates important parameters such as storey drifts and storey displacements using the Response Spectrum Method. Each structural system's seismic response is assessed …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 36–47 Read article
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Designing Aspects and Recent Advances in Digital Holographic Microscopy
Abstract: Recent advances in Digital Holographic Microscopy have been discussed in this paper, besides throwing some light on the designing aspects of optical components like beam splitter and neutral density filter for the optimization of system performance. Some important related subtopics like spectral resolution of digital holograms, and Fourier-synthesis holography have been technically discussed. The optimization of acoustical holographic components for use in renewable energy production is presented in this study. …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 06–18 Read article
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Construction of Chalcone–Thiadiazole Derivatives with (Spectral and Anticancer)-Study
Abstract: Most organic chemistry compounds are widely used in the manufacture of medicines and antibiotics. Due to the spread of many epidemics that develop later as a result of not using appropriate antibiotics, these infections may develop in some tissues into carcinogenic tissues. Therefore, many researchers have developed a series of pharmaceutical compounds and developed the method of their connection with cyclic compounds. A series of chalcone derivatives has been presented …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 64–80 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Polymer Matrix-Based High-Performance Thermoplastic Composites for Automotive Applications: Design, Characterization, and Interface Behavior
Abstract: The study emphasizes the role of high-performance thermoplastic polymer matrices such as PEEK, PPS, and PA6, selected for their superior thermal stability, mechanical strength, and recyclability in automotive environments. The expanded usage of electric vehicles (EVs) and self-driving transportation creates a demand for advanced materials which are weight-conscious yet high in strength relative to their weight, impact-resistant yet still being environmentally friendly. This study aims to create and define fiber-reinforced …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 216–237 Read article
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Design and Research of Thermoelectric Energy Harvesting Methods for Instantaneous Use
Abstract: In today’s consumer-oriented market, researchers are attempting to harness energy from ambient sources for sustainable energy generation leading to reduction of dependency on conventional energy sources. Energy harvesting methods offers enormous opportunities to derive energy from our natural surroundings to directly operate self-powered devices or storing it for later use. Generating energy from our nearby environment seems to be a promising solution to address the growing concerns of powering small …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article