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1938 articles for “UTS”
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Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
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Enhancing Road Safety with the Latest Breakthrough: Real-time Vehicle Classification, Counting, and Speed Estimation Using YOLOv8n and Deep SORT Algorithm
Abstract: The real-time vehicle classification, counting, and speed estimation system based on YOLOv8n is an important tool for monitoring traffic flow on highways. However, because they are distinct objects from their surroundings, it is still difficult to detect them, which has an impact on how accurate vehicle counts are. To tackle this concern, this paper suggests the implementation of a vision-centric system for real-time vehicle monitoring and identification. The approach involves …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 10–18 Read article
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Comparison Between Reed–Solomon and BCH Code with Various Modulation Schemes Over Coding Gain and Coding Rate
Abstract: The main objective of this research paper is to make a comparison between the performance of Reed-Solomon (RS) and Bose–Chaudhuri–Hocquenghem (BCH) codes across different modulation schemes concerning coding gain and coding rate within an additive white Gaussian noise (AWGN) channel system, while maintaining a constant transmission bandwidth. In this paper bit error rate (BER) versus signal/noise (S/N) performance of a Simulink model is validated with MATLAB results for a RS …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 32–50 Read article
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Assessing Soil Nutrients Through IoT for Enhanced Farming and Agricultural Intelligence
Abstract: Soil fertility is of paramount importance in agriculture, as it directly impacts the capacity of plants to flourish and develop. Recent advancements in technology, such as soil sensors and Arduino, offer effective means to assess soil nutrients. Key nutrients for agriculture, including nitrogen, phosphorus, and potassium (NPK), are vital for plant development and are considered primary contributors to soil fertility. Monitoring these nutrients enables farmers to gauge the specific needs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 1–9 Read article
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Evolution of War Technology
Abstract: The continued evolution of combat technology is examined in this research study, which also discusses recent trends, historical developments, and possible future developments in this important area. Throughout history, the quest for military superiority has propelled considerable advancements in warfare technology. This study provides a succinct examination of this evolutionary process, shedding light on historical turning points, modern cutting-edge technologies, and expected future developments in combat. Important advances in the …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 25–32 Read article
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Effectiveness of Online Advertising in Reaching Target Audiences
Abstract: This study examines the effectiveness of online advertising in reaching target audiences. With the rapid growth of digital platforms, understanding the efficacy of online advertising has become paramount for marketers. Utilizing a combination of quantitative analysis and case studies, this research investigates the various strategies and channels employed in online advertising to reach specific demographic segments. By analyzing metrics such as click-through rates, conversion rates, and audience engagement, this study …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 8–12 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
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DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System
Abstract: DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 Read article
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Evaluating the behavior of Concrete after addition of stone dust to steel fiber reinforced concrete
Abstract: In contemporary construction practices, the utilization of concrete has become indispensable for various civil engineering projects worldwide. Concrete, augmented with both natural and artificial fibers, plays a crucial role in bearing compressive loads and efficiently transferring structural loads to the reinforcement and foundation. The current research delves into exploring the transformative effects of different mix designs, incorporating varying percentages of steel fibers, on the behavior of concrete. The study encompasses …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 12–19 Read article
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Effect of Carbon Fiber on Mechanical Properties and Corrosion Behavior of Aluminium-6061 for Aerospace Applications
Abstract: Composite materials have brought about a revolution in numerous industries due to their superior mechanical, electrical, and thermal properties. As a result, composites have emerged as a promising class of materials. In the present experimental study, we will compare sandwiched composite panels made from aluminum 6061 alloy and aluminum-carbon fiber-reinforced polymer (CFRP) with varying load-carrying capacities in terms of their mechanical properties and corrosion behavior. These specimens are prepared using …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 154–159 Read article
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Numerical Simulation of Air Flow Field of A Gas Turbine Engine Air blast Atomizer
Abstract: One of the most crucial process that occurs before the fuel is burned in the combustion chamber is atomization. The performance of a engine will be depend mainly on the fuel mixture. Performance of the engine depends on atomization process because it breaks the bulk fuel into small droplets and injects it into the combustion chamber, in order to make this happen consequently the dimensions of most of the fuel …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 169–180 Read article
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Analytical exploration of self-consolidating concrete (SCC) mix proportions via the Taguchi method
Abstract: To address the challenge of limited space within structural elements containing densely packed reinforcement, Self-Compacting Concrete (SCC) was developed. This study focuses on optimizing the experimentation process using Design of Experiments (DoE). Taguchi's standard L(3) orthogonal array (OA) was utilized, consisting of four factors with three levels each, resulting in nine trial mixes. The factors examined include water-powder ratio, cementitious material content, superplasticizer dosage, and steel fiber content. The aim …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 1, 2024 · pp. 1–16 Read article
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Computational Analysis of Non-Newtonian Blood Flow through Bifurcated Coronary Artery: Insights into Hemodynamics and Wall Shear Stress
Abstract: This abstract presents a study on the computational fluid dynamics (CFD) simulations of blood flow through a bifurcated coronary artery using non-Newtonian fluid model. The objective of this study is to investigate the hemodynamic characteristics in Bifurcated Coronary artery. The methodology involved the utilization of ANSYS SpaceClaim software for creating a geometric model of the bifurcated coronary artery. A mesh independent study was conducted to ensure the accuracy and reliability …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 160–168 Read article
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Lighting Design in Office Spaces: Illuminating the Path to Productivity and Well-being
Abstract: Lighting design in office spaces refers to the intentional planning and implementation of lighting solutions within a workplace environment to meet the functional, aesthetic, and psychological needs of occupants. This research paper delves into the intricate connection between lighting design, mood regulation, and productivity levels within office spaces. Through a comprehensive analysis of existing literature, it investigates how various aspects of lighting, including colour temperature, intensity, distribution, and dynamics, influence …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 1, 2024 · pp. 38–53 Read article
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Analysis of Bamboo Strength for Structural Material
Abstract: Bamboo is a environmentally accessible available organic plant and among the plants with the quickest growth on earth. It grows up to 60 cm (approx.) a day and it can reach it`s maturity in about four years. It is present in large number of quantities in India. India is of the large producer of bamboo and in every part of India bamboo is easily available. Bamboo has very wide range …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 66–71 Read article
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Revolutionizing Gastro-retentive Drug Delivery: Exploring Innovative Formulation Strategies and Mechanisms in Floating in Situ Gel Raft Forming System
Abstract: An in-depth exploration of the transformative shift underway in gastro-retentive drug delivery, spotlighting the utilization of Floating Drug Delivery Systems (FDDS) and specifically honing in on the innovative formulation strategies and mechanisms inherent in Floating In Situ Gel Raft Forming Systems. FDDS present a promising avenue for revolutionizing drug delivery efficacy by capitalizing on buoyancy to float atop the gastric fluid surface, thereby extending gastric residence time and improving drug …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 9–21 Read article
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A Review on Evolution of Medicine After and During Corona
Abstract: As of the beginning of 2023, 6.7 million people had perished from COVID-19, according to the World Health Organization. However, there have also been some positive developments, such as the notable decline in influenza-related deaths in the first year of the pandemic as a result of masking and social isolation, as well as the quick adoption of vaccines utilizing cutting-edge technologies like mRNA vaccines, which hold out great promise for …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 1, 2024 · pp. 1–9 Read article
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In Silico Assessment of Demethoxycurcumin: Molecular Docking and Computational Insights into its various therapeutic Potential
Abstract: Natural compounds are increasingly explored for their therapeutic potential in medical research. Here, we focused on demethoxycurcumin (DMC), a polyphenolic bioactive compound extracted from Curcuma longa, commonly found in turmeric. DMC, with a chemical formula of C20H18O5 and a molecular weight of 340 g/mol, possesses two aromatic ring systems, each featuring a β-diketone moiety connected by a seven-carbon chain. This unique structure allows DMC to engage in tautomerism, which is …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 9–15 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article