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37 articles for ““choice”-driven”
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A Data-driven Approach to Sales Analysis
Abstract: Decisions made using data from digital sources are said to be data-driven when they are analysed and interpreted. Across many sectors, a data-driven approach is an effective technique for gaining insights, making wise choices, and guiding corporate strategy. This study covers the concept of data analytics in sales analysis of bakery and mess. It involves evaluating diverse types of information, including sales data, customer preferences, production costs, and supplier details. …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 29–41 Read article
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Evaluating the Performance of Test Cricket Players Using Principal Component Analysis and the Weighted Average Method
Abstract: This study evaluates cricket player performance using Principal Component Analysis (PCA) and a weighted average approach. In order to achieve this, we analyzed detailed batting and bowling datasets from the International Cricket Council (ICC) to calculate player performance based on various performance indicators. The datasets included comprehensive statistics from multiple matches and tournaments, allowing for an in-depth evaluation of players’ skills and contributions. PCA ranked players according to their participation …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 20–30 Read article
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Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning
Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Deformation and Densification Behaviour of Sintered Aluminium Alloy and Chromium Carbide Metal Matrix Preforms
Abstract: This paper presents comprehensive experimental results focused on the deformation and densification behavior of sintered AA2618 - 2% Cr3C2 metal matrix preforms. The study specifically examines preforms with varying aspect ratios subjected to a cold upsetting process. To create the powder preforms, an initial theoretical density of 89% was achieved using a cylindrical die on a 600 kN hydraulic press. The sintering process was conducted in an electric muffle furnace, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–131 Read article
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Farmer’s Pal
Abstract: Precision agriculture, characterized by data-driven decision-making, has transformed contemporary farming practices. To increase agricultural sustainability and efficiency, this abstract investigates the combination of sensor monitoring, machine learning, and picture processing. A network of sensors continuously collects vital environmental data, including temperature, humidity, rainfall, sunshine, soil moisture, and conductivity, for precision agriculture. By providing real-time insights, these sensors enable farmers to make informed choices about pest control, fertilization, and irrigation. This …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–31 Read article
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Experimental and Numerical Assessment of Sustainable Machine Tool Design: A Life Cycle Perspective on Structural Optimization and Energy Performance
Abstract: Machine tools are high-mass, energy-intensive systems with long service lives, contributing significantly to the carbon footprint of manufacturing. Enhancing their sustainability requires integrated structural and energy optimization without compromising functionality, accuracy, or productivity. While sustainable design has been studied broadly, systematic reviews from an experimental and applied mechanics perspective remain limited. This paper reviews sustainable machine tool design through a life cycle lens, emphasizing mechanics-based strategies and assessment methods. Key …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 13–39 Read article
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The Era of Pharmacology Toward Pharmacogenomics
Abstract: In both Modern Laboratory medicine as well medical science both the Pharmacogenomics is fast, emerging, outcome driven approach which is generally termed as precision medicine. Understanding the importance of gene-drug association and clinical implementation, effect of drug choices over the clinical subjects are kind of need of hour as it is proof of concept for evidence driven therapeutic approach. Also, in research prospective the genome wide association studies (GWAS) which …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 12, Issue 2, 2022 · pp. 33–38 Read article
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Short Review on the Materials for Microfluidics with the Experiments to Record the Surface-Driven Capillary Flow of Dyed Water in Fabricated Microfluidic Device for Bioengineering Applications
Abstract: In this review, dominant features of suitable materials for the fabrication of microfluidic devices are briefly mentioned. Surface modification techniques are useful to vary the flow-speed in microfluidic devices. Surface modification techniques are dependent on the choice of device materials. In this present paper, a single polymeric microfluidic device as sudden expansion microchannel is fabricated by author using maskless lithography, hot embossing lithography and direct bonding technique. Also, the surface-driven …
Published in Recent Trends in Fluid Mechanics · Vol. 7, Issue 3, 2020 · pp. 1–4 Read article
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions
Abstract: Gesture-driven robotic systems are becoming increasingly relevant in applications such as assistive technology, industrial automation, and interactive systems. The choice of chassis material plays a crucial role in determining the robot's mechanical strength, weight, and ease of fabrication. This study systematically evaluates three chassis materials—iron, acrylic, and 3D printed polymers—to determine their suitability for gesture-controlled robots. A standardized robotic configuration, including two rear motors, two front dummy axles, an L298N …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 686–692 Read article
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A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Sustainable Biomedical Polymer Composites Designed through Artificial Intelligence Approaches
Abstract: The development of sustainable biomedical polymer composites has become one solution that can be used to combat increasing environmental issues that have been presented by traditional medical materials without compromising functional performance. Implementation of the artificial intelligence (AI) in material design presents a paradigm shift of data-driven development, which improves the efficiency, accuracy, and scalability of composite development. The given work can serve as a universal guideline in developing biodegradable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Driven Sustainable Supply Chain Framework for Polymer Composite Production
Abstract: As polymer composite processes become more difficult and environmental concerns increase, old supply chain models that just look at cost and operations have shown significant weaknesses when it comes to sustainability. The rising demand for environmentally friendly practices throughout a product’s life cycle requires a new process that makes sustainability a key element in making supply chain choices. The proposed framework was developed in response to this need by using …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 219–235 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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Design and Implementation of a 4-Bit Breadboard CPU Using Digital Integrated Circuits
Abstract: This paper presents the design and hardware realization of a simple 4-bit CPU built using discrete TTL integrated circuits on a breadboard. The CPU employs a 4-bit common data bus with tri-state buffers for device arbitration, three 4-bit registers (Register A, Register B, and an Output Register) implemented with 74LS175 quad D flip-flops, and a 4-bit ALU for addition/subtraction using a 74LS83 adder and XOR gates. Manual control signals (load, …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 30–42 Read article
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Breaking Barriers: Overcoming Challenges for Women in STEM in India-A Conceptual Perspective
Abstract: STEM education which brings together Science, Technology, Engineering, and Mathematics has become the foundation for success in today’s fast-changing, technology-driven world. It helps students think critically, solve real-world problems, and adapt to new innovations like artificial intelligence, robotics, data science, and biotechnology. In a country like India, where digital transformation is reshaping every sector, STEM education is not just an academic choice but a key to national growth and progress. …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 8–13 Read article
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Performance Optimization of Photovoltaic-thermal (PVT) Systems: A Comprehensive Review of Design and Efficiency Enhancements
Abstract: The desire for renewable energy solutions and the rising demand for energy worldwide have driven important developments in hybrid photovoltaic-thermal systems. Photovoltaic-thermal systems provide the advantages of both thermal energy collection and electrical energy generation as they integrate photovoltaic and thermal collectors into a single module. However, a number of variables, including system architecture, material choice, cooling systems, and ambient circumstances, affect how well they function. The goal of this …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 2, 2024 · pp. 9–16 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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TOPSIS-Driven Optimization of FFF Process Parameters for Mechanical Strength Enhancement
Abstract: In this study, the application of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method for optimizing Fused Filament Fabrication (FFF) process parameters to enhance the tensile and flexural strength of Polylactic Acid (PLA) material-based 3D printed components is explored. This investigation delves into the intricate relationship between key parameters, such as layer height, print speed, infill density, print temperature, and nozzle diameter, and their impact …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 246–255 Read article
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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article