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126 articles for “Decision Parameters”
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Evaluating Low Carbon Supply Chain Practices in India using Fuzzy Tool based Importance and Performance Analysis
Abstract: Abstract The aim of present study is to introduce new logical method to select critical low carbon supply chain practices (LCSCP) having integrated and performance analysis under different environments. The manufacturing companies in India are having lots of loads to reduce environmental pollution. Suitable application of LCSCP ensures proper utilization and also motivates companies to take global pollution-based problems. Therefore, there are few techniques available for the analysis of LCSCP …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 9, Issue 1, 2019 · pp. 29–39 Read article
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Using MCDM Methods in automotive industry- A Review
Abstract: In the automobile sector, choosing the best car necessitates weighing a number of factors, including cost, fuel economy, performance, safety, and environmental impact. In order to solve complicated situations that need the simultaneous evaluation of multiple conflicting aspects, Multi-Criteria Decision Making (MCDM) procedures are essential. Among the various MCDM approaches, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and MOORA are widely recognized for their straightforward structure …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 22–28 Read article
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Geotechnical Influence Factors in Empirical Design of Highway Pavement: The A123 Ilorin – Lokoja Highway, Nigeria Case Studies
Abstract: Site investigation and application of geological and geotechnical influence factors on the highway were investigated. Method involved field sampling, geotechnical laboratory and x-ray diffraction analysis and use of SRTM extracted slope and drainage parameters; and their integration in a GIS based multi-criteria decision analysis to derive a subgrade suitability map as a design tool. The suitability criteria classified the highway into four (4) design sections. Section one for very low …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 53–70 Read article
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Unveiling Empowerment: Evaluating Entrepreneurial Effectiveness of Self-Help Groups in Murshidabad and South 24 Pargana
Abstract: Self-help groups (SHGs) have played an essential role in the socio-economic upliftment of society, especially in West Bengal over the last decades. Analytically discussing gender dimensions in the SHGs, this paper scrutinizes the efficiency of the two districts, namely, Murshidabad and South 24 Parganas considering certain parameters. Based on the analysis of the parameters of the empowerment indicators and socio-economic effects of the SHGs, the paper explains to what extent …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 23–33 Read article
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Optimization of Process Parameters in EDM
Abstract: Extensive research has been done till date to improve the performance of electrical discharge machining (EDM). In the past few years, the Taguchi method has played an important role in the optimization of process parameters. However, many of the studies have focused on static or single-quality characteristics such as smaller-is-better, larger-is-better, and nominal-is-best. The Taguchi method is best suitable for relative analysis. The prime drawback here to mention is that …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 21–28 Read article
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PLANNING PROPOSAL FOR DEVELOPMENT OF LOGISTIC PARK USING BWM METHOD: A CASE OF DREAM CITY, KHAJOD, SURAT.
Abstract: In the recent era, Transportation considers the foremost powerful component of the business supplying system. There’s also an independent relationship between the transport infrastructure and therefore the logistics system. The study aims to hold out a comparative analysis of transport-logistic problems supported intelligence parameters that affected them. Within the research study, the authors focused on the foremost affected criteria on logistics systems namely administration, technology, geographical and transportation. The BWM …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 10–18 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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AI-Driven Dairy Ledger: Enhancing Efficiency with Machine Learning
Abstract: The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 36–46 Read article
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Intelligent Network Slicing and Adaptive Switching for Ultra-Low-Latency 6G Communications
Abstract: The rapid evolution of sixth-generation (6G) wireless communication networks demands intelligent and adaptive network management mechanisms capable of supporting ultra-low-latency, massive connectivity, high reliability, and heterogeneous service requirements. This study proposes an Intelligent Network Slicing and Adaptive Switching (INS-AS) framework for optimizing communication resources and minimizing end-to-end latency in 6G environments. The proposed framework dynamically creates and manages logical network slices according to application-specific requirements, including enhanced mobile broadband, ultra-reliable …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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IOT Based Smart System for Parameter Control Interfaced with Android and Cloud
Abstract: The smart embedded system enables real-time monitoring and control of multiple parameters motor speed, LCD brightness, temperature, and humidity through both manual input and remote Android application. The system consists Raspberry Pi 4 Model B as the central processor, integrated with a DHT11 sensor, L298N motor driver, LCD display, and potentiometers. Cloud connectivity is achieved using Firebase to synchronize data between the hardware and a custom-built mobile application. Real-time feedback …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 11–22 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
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Influence of Remote Therapeutic Monitoring on Efficiency and Effectiveness of PT in Home Health Settings
Abstract: The delivery of physical therapy (PT) services in a home health setting presents unique challenges and opportunities, particularly as the demand for personalized, patient-centric care continues to grow. Remote therapeutic monitoring (RTM) has emerged as a transformative tool, enabling therapists to monitor patients’ progress, adherence, and outcomes beyond the traditional in-person visits. Leveraging technologies, such as wearable devices, mobile applications, and telecommunication platforms, RTM bridges the gap between sessions, fostering …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 35–40 Read article
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Wildfire Detection and Tracking System
Abstract: To create a precise forecast of the wildfire, it is crucial to possess the capability to recognize it and anticipate how it will distribute. The devastation of vegetation, the loss of assets, the rise in greenhouse gases, the extinction of Numerous animal species and even human fatalities can all result from wildfires. To trim back this danger, there must be a mechanism capable of detecting a fire the moment it …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 21–29 Read article
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DATABASE-DRIVEN ENERGY MANAGEMENT IN ELECTRIC VEHICLES
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Adaptive Routing Protocol to Optimize the Quality of Service of MANET Using Neural Network
Abstract: A MANET is a group of mobile nodes that create a temporary network without relying on centralized administration or standard supporting devices, often functioning as a conventional network. These dynamic environments present significant challenges for traditional routing and switching protocols, particularly in delivering Quality of Service (QoS) benchmarks such as bandwidth, latency, packet delivery ratio, and robustness. This study proposes an Adaptive Routing Protocol (ARP) leveraging Neural Network (NN) techniques …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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A Case based Practical Approach for Novel Data Transformation to Enhance Accuracy of Decision Tree Ensembles
Abstract: AbstractIf we talk about any real world situation then we can see that all the situations dramatically changes as the time passes. If we say this statement in some technical form, concepts changes gradually. This situation is called as Concept Drift that is the core of any approach. Until we cannot get the accurate output for a given input parameter, the concepts will concurrently change. To overcome this situation we …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 1–6 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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A review of Autonomous Maintenance System using Weighted product method (WPM) method
Abstract: Autonomous maintenance is a method in manufacturing, which Dedicated to machine operators Maintenancetechnicians Believing, basic maintenance Assigns responsibility for tasks. Objective of this thesis Finding the best locationAutonomous Maintenance System Weighted product method (WPM). This paper is the a weighted product for solving the routing decision problem Model (WPM) is used. Every Dynamically assign weights to criteria This proposed scheme Considers the relevant valuation method for Database Management, Data Storage, …
Published in Journal of Production Research & Management · Vol. 12, Issue 3, 2022 · pp. 26–34 Read article