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215 articles for “execution time”
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Vision Sense Rover
Abstract: This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor- driven decision making for navigation. The ultrasonic sensor continuously measures the distance to adjacent obstacles, while the servo motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 38–43 Read article
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Evaluation of Options using The Cox-Ross-Rubinshtein Mathematical Model
Abstract: Using complex mathematical formulas, we can calculate the reasonable value of an option.The Cox-Ross-Rubinstein model takes into account factors that are not considered in the Black-Scholes model and is an improved version of the binomial model. At the same time, the Cox-Ross-Rubinshtein model gives results close to the Black-Scholes model. The difference between these two models is that the Cox Ross Rubinstein modeltakes into account the possibility of early execution …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 47–50 Read article
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A Disquisition on Artificial intelligence: and its significance in ME-BAD
Abstract: Artificial intelligence (AI) is software which is designed such a way that it can react as humans with natural intelligence (NI) and which can lessen the human work load. AI is a kind of a software or application which is developed for making decisions, resolving problems in real-time. Designing a model for the systems which must have a ability to recall things as human being and knowing the criterion, and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 51–57 Read article
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AI-Powered Prompt-to-Production Platform for Automated React Application Generation and Cloud Deployment
Abstract: The proliferation of large language models (LLMs) has fundamentally altered the landscape of automated software engineering. However, a significant “deployment chasm” persists between the generation of code artifacts and their realization as production-grade cloud applications. Traditional workflows are marred by the “DevOps Tax”: the high operational overhead of environment configuration, dependency resolution, and infrastructure provisioning. This paper presents a novel, technically adept architecture that bridges this gap through a unified …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 1–16 Read article
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An Overview of Computerized Toll Mechanism
Abstract: A Computerized Toll Mechanized is utilized for toll gathering without making movement blockage and holding up in long line with help of radio-frequency identification (RFID) strategy. Likewise, by utilizing this system, it will spare time, i.e. by staying away from long line as no need to stop the vehicle and no need of manual transaction. Most critical that, the stolen vehicle will have the capacity to get effortlessly with help …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 2, 2014 · pp. 12–16 Read article
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AirDraw: Gesture-Driven Sketching for Immersive Design Interfaces
Abstract: AirDraw represents a transformative advancement in artificial intelligence, creating fluid touch-free human-computer interfaces through real-time interpretation of hand gestures as precise design control signals. This paper introduces AirDraw—a revolutionary webcam-powered virtual canvas that redefines creative workflows and educational interactions. Particularly valuable for design students prototyping ideas, senior creators exploring digital art, and users with motor impairments who find traditional peripherals challenging, AirDraw delivers truly inclusive technology access. Unlike conventional gesture …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 · pp. 32–41 Read article
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A Framework for Test Data Generation Using Genetic Algorithm
Abstract: Software testing is one of the best methods to increase the confidence of the programmers in terms of correctness, quality and reliability of software. The testing effort is divided into three parts: test case generation, test execution, and test assessment. The goal of software testing is to design a set of minimal number of test data such that it reveals as many faults as possible. This paper proposed a framework …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 18–25 Read article
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Data Security: An Analysis in Cloud Computing
Abstract: Abstract—Cloud computing is a most mainstream and quickly developing innovation which gives an additional office and more clients and associations moving towards choice their administrations to cloud. In present time information security is more challenging for cloud computing. A standout amongst the most imperative security testing is to oversee and guarantee a protected utilization over multi-supplier bury cloud conditions with committed correspondence frameworks, security controls in cloud environment. Data privacy, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 2, 2019 · pp. 26–32 Read article
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Review on Multicore Processors
Abstract: AbstractMulti-core processors based product servers recently progress toward becoming building obstructs for superior computing Linux bunches. The multi-core processors convey better execution to cost proportions in respect to their single-core predecessors through on-chip multi-threading. In any case, they exhibit challenges in growing superior multi-strung code. In this paper, we concentrate on the execution of various programming hindrance calculations on Intel Xeon and AMD Opteron multi-center processor based servers. Particularly, we …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 1, 2017 · pp. 30–41 Read article
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How Selected Areas in Nowshera City (Pakistan) Can Be Made Flood Resilient
Abstract: AbstractClimate change and variability is causing more hydro-meteorological risks today than ever before. No individual country can declare itself protected against events like floods, hurricanes, droughts and snowfalls. Pakistan is no different against impacts from these events. 2010 floods in Pakistan have highlighted weaknesses of the systems for dealing with floods, especially in urban areas of Khyber Pakhtun Khwa (KPK) including Peshawar, Nowshera and Charsadda. At Nowshera, areas north of …
Published in Research & Reviews : Journal of Ecology · Vol. 6, Issue 1, 2017 · pp. 17–34 Read article
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Application of Information Technology that Reduced Agriculture Sector Impact due to COVID-19
Abstract: The COVID-19 epidemic, as one of the biggest health emergencies in the last decades, has disruptive impacts in all spheres of mortal life, including social, environmental, mental, and political ones. Nonetheless, the most oppressively affected was and still is the moneymaking sector of countries across the world. One of the major pillars of global husbandry is the agrarian sector due to its significance in assuring continuance in food inventory and …
Published in Current Trends in Information Technology · Vol. 12, Issue 1, 2022 · pp. 5–10 Read article
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Role Of Distributed Database in Cloud Application
Abstract: An affordable gratitude to improve the presentation of data frameworks is that the distributed system. Along these lines, the convenience of any appropriated information framework is stricken by its right vogue as far as embraced fracture, allotment, and replication ways that. Accordingly, discontinuity, its portion and replication is thought about as a key examination region at interims the dispersed setting. The distributed computing is partner rising circulated setting that utilizes …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 3, 2021 · pp. 16–20 Read article
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Keras Based Real-time Hand Gesture Recognition
Abstract: Everyone can communicate effectively with hand gestures. Hand gesture recognition, as opposed to the traditional text-based or GUI-based method, can be viewed as a way for computers to better grasp the language of the human body and develop richer human-computer connections. Hand gestures can help to simplify tasks by allowing you to give orders to the computer using simple hand movements. The camera records gestures, the computer interprets them, and …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 1, 2022 · pp. 10–16 Read article
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Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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The Role of Generative AI in Enhancing Administrative Efficiency: Innovations in Workforce Support Systems
Abstract: Generating AI is the primary form of artificial intelligence that disrupts administrative work across multiple industries by redesigning and promoting the automation of traditional tasks and improving the workforce efficiency of decision-making. In a conventional setting, executive positions have been equally associated with paper-bound responsibilities, common with tedious activities like appointment making, filing, data input, etc. However, improvement in the area of generative AI makes these natural functions assignable, thus …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 47–68 Read article
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Multi-functional UAV for Disaster Response and Management
Abstract: Unmanned Aerial Vehicles (UAVs), commonly known as drones, have become integral across diverse fields such as agriculture, surveillance, and defense, with expanding roles in critical operations like search and rescue and post-disaster management. Despite their versatility, current UAVs encounter challenges in disaster response due to limitations in flight time, costs, and accuracy, particularly in dynamic weather conditions. The UAV is equipped with features essential for disaster site surveillance, human detection, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Development of Software Packages for Computer Aided Design and Performance Analysis of Industrial Fractional Distillation Equipment
Abstract: This paper deals with improved CAD software packages that have been developed with the objective of improvising the existing conservative design of fractional distillation equipment. Since fractional distillation is extensively employed in petroleum refineries, distilleries and in a large number of chemical process industries, accurate design and optimised performance of these equipments are detrimental to the overall economy of these industries. Further, the efficient performance of the fractionators are dependent …
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 3, 2015 · pp. 15–41 Read article
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Improvement of an Android Application for Corporate Data
Abstract: In the corporate world, a lot of information needs to be taken care of and oversaw productively. Consequently, an undertaking application that would help in proficient treatment of information and decrease manual work needs to be created. Some of the time in a specific association, it gets to be important to take brisk choices in light of information from any area. Android is broadly utilized and is an effortlessly accessible …
Published in Journal of Open Source Developments · Vol. 2, Issue 1, 2015 · pp. 23–27 Read article
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Triple-Threat Analysis: Measuring Mythril, Slither and Oyente Against Real-World Smart Contract Vulnerabilities
Abstract: Smart contracts have become fundamental building blocks of blockchain ecosystems, yet their immutable nature makes security vulnerabilities particularly devastating. This pa- per presents a comprehensive evaluation of three prominent static analysis tools—Mythril, Slither, and Oyente—for detecting vulnerabilities in Ethereum smart contracts. Through systematic experimentation with real-world contract categories (voting sys- tems, land registries, and crowdfunding platforms), we quantify the effectiveness of each tool across eight critical vulnerability types, including reentrancy, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article