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58 articles for “price optimization”
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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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An Aggregated Solution for Optimization of Marriage Logistics in South Asia: Amethi Case Study
Abstract: The main aim of our project is to create an Android application to plan and organize wedding events,especially in rural areas and small cities. Using the drag and drop feature in 3D stage designing customers canchoose layout of stage and design stage decoration of their own choice. An android application with very interactive interface which help users to find all the required resources & services in considerable amount which is …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 26–33 Read article
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Modelling Simulation And Analysis Of A Hybrid Wind And Pvsolar Based Street Lighting System
Abstract: Solar and wind-generated electricity is significantly less harmful to the environment than fossil-fuel- generated energy. This study describes a solar-wind hybrid power system that generates electricity by utilizing the sun's and wind's renewable energy. India has a great deal of solar energy potential. Every year, India's land area receives around 5,000 trillion kWh of energy, with most areas receiving 4–7 kWh per sq.m. Gujarat, Maharashtra, and Tamil Nadu have the …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 27–35 Read article
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Length–Weight and Girth Relationship, Condition Factor, and Stomach Contents of Pila Ovata from Otuoke/Otuaba River, Bayelsa State, Nigeria
Abstract: Otuoke/Otuaba River situated in Otuoke, Bayelsa State, Nigeria serves numerous purposes, such as fishing, laundry, human feacal disposal, amongst others. The river is home to Pila ovata, a mollusc which serves as a special delicacy in the meals of most Bayelsan due to its high protein content. The length-weight and girth relationship, condition factor and stomach contents of P. Ovata (Apple snail) from Otuoke/Otuaba River was studied. Snail samples were …
Published in International Journal of Marine Life · Vol. 2, Issue 1, 2025 · pp. 10–17 Read article
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Stock Price Prediction Using Data Science Techniques
Abstract: This study centers around persuasively presenting the potential to forecast the stability of future market stocks. Previous research has delved into predicting the trajectory of future market trends, leading to fluctuations in stock data, which opens avenues for refinement. The proposed model employs data science methodologies to predict the stock price index's value. This is achieved by contrasting supervised classification data science learning algorithms that predict either stock price increases …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 33–41 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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Design of Hybrid Power Generation System using LabVIEW
Abstract: The need for electrical energy increases in our life with the increase in the trends in technology for sophistication of our day-to-day life. This requires an increase in the production of electrical energy. In the field of electrical power generation from the conventional methods like hydroelectricity, thermal power systems which use fossil fuel, there is needed to concern the factors which influence the environmental conditions including pollution, greenhouse effect and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 2, 2014 · pp. 7–14 Read article
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Solution of Solid Traveling Purchaser Problem Using Efficient Genetic Algorithm with Probabilistic Selection and Multi-Parent Crossover Technique
Abstract: In this paper, I design a NP-hard optimization problem and solve this problem by developing a nature-based multi-parent crossover in genetic algorithm (GA). Initially, taking a set of markets, a depot and some products for each of which a positive demand is specified. Purchaser can purchase each product from a subset of markets only a given quantity, less than or equal to the required one, can be purchased at a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 3, 2018 · pp. 20–26 Read article
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Bidding Strategy and Risk Rating Guidelines for Construction Contractors
Abstract: Due to intense competition, contractors are compelled to place bids with minimal profits to remain in the market. If a contractor intentionally or unintentionally submits a bid with an unrealistically low price, the probability of obtaining a construction contract rises, however it will directly result in cost estimation error and affect the profitability of the contractor, this article provides guidelines to the contractor in pre-bidding stage. This also focusses on …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 1, 2023 · pp. 1–6 Read article
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Advances in Medical Robotics: Surgical Automation and Rehabilitation Systems
Abstract: Medical robotics has emerged as a groundbreaking technology, transforming modern healthcare through advancements in surgical automation and rehabilitation systems. Robotic-assisted procedures machine learning (ML), and artificial intelligence (AI) have all been used to improve patient recovery consequences, reduce invasiveness, and increase surgical precision. These developments have redefined traditional medical techniques by opening the door for more effective, precise, and tailored therapies. By improved dexterity, stability, and vision, surgical robots has …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 31–38 Read article
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A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
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Development of Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA) Systems for Electric Vehicles
Abstract: This project investigates an IoT-power Adaptive Driver Assistance System (ADAS) crafted to enhance the comfort, efficiency, and reliability of Electric Vehicles (EVs). By seamlessly integrating Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA), the system aims to metamorphose driving into a secure, more comfortable, and energy-conscious experience using low-priced sensors and microcontrollers. The ACC module relies on ultrasonic sensing element linked to a NodeMCU, which intelligently corrects vehicle speed …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 1–6 Read article
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The Topology in Jordanian Land and Survey Department Maps and Controlling its Quality Using Geographic Information Systems
Abstract: The aim of this paper is to explore the topological errors that may result from technical errors by the technicians, when they prepare, optimize, and develop digital maps specifically with reference to Jordanian Land and Survey Department maps. The main objective of this study is to identify and detect the topology errors found in Jordanian Land and Survey Department maps, and to suggest the suitable solutions and procedures to avoid …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 3, 2015 · pp. 14–32 Read article
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A Comprehensive Analysis of Various Payment Gateways for Web-based Food Ordering
Abstract: The digital revolution has ushered in profound transformations across industries, and the online food sector stands at the forefront of this evolution. With consumers increasingly prioritizing convenience and accessibility, the online food industry has witnessed unprecedented growth. In this dynamic landscape, payment gateways have emerged as indispensable components, facilitating seamless transactions and driving operational efficiency for online food restaurant websites. This research article endeavors to conduct a comprehensive analysis of …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Parametric Studies of Natural Dyes in Dye Sensitized Solar Cells
Abstract: Natural dyes used in dye sensitized solar cells (DSSCs) are low cost viable substitute to high cost ruthenium dyes because of its easy availability and no environment threat. Parametric studies of natural dyes in dye-sensitized solar cells (DSSCs) are essential for optimizing the performance of these renewable energy devices. One kind of thin-film solar cell called a DSSC uses organic dyes to absorb sunlight and turn it into electrical energy. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 121–132 Read article
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Random Forrest Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Abstract: Advanced metering infrastructure (AMI) plays a central role in the operation of modern smart grid (SG) systems by enabling continuous, two-way communication between utility providers and consumers. Through this communication, AMI supports real-time monitoring, dynamic pricing, and efficient energy management. However, the same connectivity that makes AMI effective also increases its exposure to cyber threats. One of the most critical threats is the man-in-the-middle (MITM) attack, in which an attacker …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 1–8 Read article