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549 articles for “Cost Model”
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Sustainable Electric Vehicle Development: The Role of Recyclable Polymers and Composites
Abstract: Electric vehicles (EVs) represent a pivotal shift toward sustainable transportation and climate change mitigation. In India, the transition to EVs is driven by government policies, technological advancements, and growing environmental awareness. However, the sustainability of EVs extends beyond their operational efficiency to the materials used in their construction. This paper explores the role of recyclable polymers and composites in enhancing the sustainability of EVs in India. The study highlights the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 16–28 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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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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Colour Removal from Effluents Using Micromaterials
Abstract: In this study, the ability of Micromaterials to adsorb color from an aqueous solution was investigated by using flocculants and activated carbon prepared from Rice Bran, an agricultural by-product, and batch mode adsorption experiments were conducted. The influence of various factors such as initial concentration (20, 40, 60, 80 mg/L), contact time, pH (4.0-9.0), and dosage on the adsorption capacity was investigated and optimal experimental conditions were ascertained. Adsorption data …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 2, Issue 1-3, 2012 · pp. 1–8 Read article
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Design of FPGA Based ALU Using Reversible Logic Gates
Abstract: Reversible or information misfortune less circuits has applications in computerized signal handling, correspondence, PC design and nanotechnology. Reversible technique is utilized to minimize heat that happens in traditional circuits by keeping the loss of data. This paper proposes a reversible configuration of an ALU. This ALU comprises of eight operations, five are of arithmetic category and three are from logical category operations. An arithmetic operations incorporate add, sub, increase by …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 3, 2016 · pp. 15–21 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
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AI-Driven Inverse Design of Functionally Graded Bio-Nanocomposites for Sustainable High-Barrier Packaging
Abstract: Multilayer plastic packaging realizes high barrier performance through laminated heterogeneous structures, but the heterogeneous structure has severe end-of-life challenges caused by the interfacial incompatibility of materials and the poor recyclability. This study proposes the inverse design of functionally graded PLA-nanoclay composite films by reinforcement learning as a monolithic alternative to traditional multilayer systems. Twin-screw extrusion is designed as a continuous control Markov decision process, and proximal policy optimization (PPO) is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1547–1564 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Comparison of Hard Wood Functional Parameters on the Deliverability using Buckingham Pi Theorem: The Concept of Procurement
Abstract: This investigation was able to address the effect of wood density and weight on the tensile strength and deliverability of the truck performance and as medium to forecast the procurement plan for cost optimization. This was achieved using the Buckingham Pi Theorem by considering the necessary constrain factors as presented in the development of the model. Indeed, the study demonstrates the significance of wood density and wood weight on truck …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 19–27 Read article
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Global Supply Chain Agility Through ERP Systems: A Decision Support Model for Emerging Economies
Abstract: In today’s highly dynamic and interconnected global markets, supply chain agility—the capacity to sense environmental changes and respond rapidly and effectively—has emerged as a critical success factor. This is particularly significant for firms operating in emerging economies, where market volatility, infrastructural limitations, policy uncertainties, and resource constraints pose persistent challenges. Enterprise Resource Planning (ERP) systems, with their ability to integrate cross-functional processes, centralize data, and provide real-time decision-making support, offer …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 31–37 Read article
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Bioremediation of Crude Oil-Contaminated Loamy Soil Using Plantain (Musa Paradisiaca) Stem Waste as a Biostimulant
Abstract: Crude oil contamination of soil is a pressing environmental challenge in oil-producing regions, especially in the Niger Delta of Nigeria. It degrades soil fertility, disrupts microbial ecosystems, and poses long-term ecological and health risks. Traditional remediation methods are often cost- prohibitive and environmentally intrusive, prompting the search for sustainable alternatives. This study investigates the potential of plantain (Musa paradisiaca) stem waste – a readily available agricultural byproduct – as a …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article
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RFID-Enabled Smart Shelves and Cart System
Abstract: With the fast-paced development of Radio Frequency Identification (RFID) technology, the retail sector is seeing a revolutionary change to improve stock management, cut operational costs, and improve consumer satisfaction. The comparative advantages of RFID-smart shelves and carts over conventional stock management practices, such as barcode scanning and manual stock management, are investigated in this work. Compared to the other methods, in terms of accuracy, efficiency, cost-effectiveness, and scalability, RFID smart …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 31–37 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Comparative Analysis of Pond Ash as a Partial Replacement of Sand as Subbase Material for Concrete Paver Block Hardstand sustaining storage of Bulk Cargo
Abstract: This work presents an industrial waste-derived subbase material that can take the place of conventional granular material for subbase in hardstand foundation construction. This industrial waste hugely deposited in the ash lagoons namely Pond Ash (PA) which is globally generated at an amount of 780 Metric Tons from thermal power plants annually ,as foundation material for hardstand construction, will not only help the cause of residual waste disposal problems but …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Modelling and Simulation of a Combined System Geothermal Binary Plant and Parabolic Solar Concentrator
Abstract: The present work describes a new prototype that uses the concentrated solar radiation to improve the performance of geothermal power plants. Current methods of heat recovering have been used to reduce the amount of fossil fuel used to produce vapor or to increase gas pressure and temperature, depending on the type of system; however, concentrated solar energy is an unknown resource that may help to increase vapor production at a …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 23–46 Read article
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A Review Study on CPU-Optimized Parameter-Efficient Fine-Tuning for Large Language Models to Increase Accuracy Using LoRA
Abstract: The fast proliferation of large language models (LLMs) has increased the need to optimize the process of fine-tuning, but the existing workflows that require a graphics processing unit (GPU) are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of parameter-efficient fine-tuning (PEFT) based on low-rank adaptation (LoRA). The major purpose …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Digital Advertising System with GPS location geofence using IoT
Abstract: Now a days to improve any business, it needs to be marketing the business with different types. This work describes a one of the unique marketing strategy process where impact of digital technology. In this study, businesses can really benefit from Digital advertising such as search content marketing, content automation, e-commerce advertising, display advertising. This is cost effective and having a great commercial impact and many advantages on the business. …
Published in Current Trends in Signal Processing · Vol. 11, Issue 2, 2021 · pp. 28–33 Read article