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JISR on Computing
ISSN 2412-0448 · Shaheed Zulfikar Ali Bhutto Institute of Science and Technology · 193 artikel di indeks
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Computationally Efficient Iterative Learning Control Design for Uncertain Nonlinear Systems Applied on SRVO2 Motor-Driven Machine
This paper presents Iterative Learning Control (ILC), an intelligent control technique that addresses tracking inaccuracies in iterative systems. In this work, we propose a new iterative learning sliding mode controller ILSMC and ILPID to solve the trajectory tracking problem of nonlinear systems…
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Hybrid 3D CNN-LSTM Model for rs-fMRI-Based Parkinson’s Prediction
Parkinson’s disease (PD) is caused by dopamine neuron loss. Dopaminergic neurons in the “substantia nigra” which gradually die. Accurate and timely diagnosis is essential for treating Parkinson’s disease (PD). In this research, we present a unique method using Long Short-Term Memory and a 3D…
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Blockchain-Driven E-Voting: Enhancing Security and Integrity with Smart Contracts
In any democratic electoral system the fundamental right of every eligible citizen is to vote in order to elect the desired representative. However minimal efforts have been made to improve the voting mechanism. Many states are still utilizing paper based balloting systems, however technological…
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Integrating Prescriptive Analytics, XAI, and Missing Data Handling into a Trust-centric Ensemble Model for Persuasive Interventions: A Scoping Review in Higher Education
This scoping review explores the potential of integrating prescriptive analytics, eXplainable AI, and missing data handling techniques into a trust-centric ensemble model to enhance the persuasiveness of optimised actionable insights. We analysed relevant studies that discuss prescriptive…
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Heart Disease Prediction: Leveraging CNNs and XAI Modeling for Interpretability
This study examines heart disease prediction using machine learning models, focusing on interpretability, leveraging a dataset of 1,319 entries containing nine health-related attributes. We applied One-dimensional Convolutional Neural Networks (1D CNN) and Logistic Regression for classification…
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User-Centric Approach to Design a Digital Shopping Cart: Enhancing User Experience in Super Stores
The digital carts for shopping malls offer a swift solution designed to transform the traditional shopping experience. Particularly, large cities and metropolitan areas where end users frequently visit the biggest malls / superstore, the designed prototype of this study would seek to reduce the…
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Factors Affecting Aggressive Behavior Among Teenage Students: A Statistical Study
Abstract— A person may exhibit aggressive conduct and the mental illnesses that go along with it at any stage of life, including childhood, adolescence, adulthood, and old age. Over time, there seems to have been an increase in the prevalence of aggressive conduct among children and adolescents…
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Automatic Sugarcane Disease Detection and Outbreak Alert System using Deep Learning
Agriculture Agriculture is a vital sector in Pakistan, with sugarcane being the second-largest crop. However, the industry faces challenges due to crop diseases, prompting the need for innovative solutions. This research introduces the Automatic Sugarcane Crop Diseases Detection and Outbreak Alert…
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Amoeba Based Novel Post-Processing Algorithm for Industrial Computed Tomography Scans Enhancement
Industrial Computed Tomography (ICT) for flaw profiling of critical systems is a highly efficient and widely used non-destructive testing (NDT) technique. Prompt image reconstruction is required while scanning industrial components; offering many benefits, such as increased throughput, reduced…
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Exploring Fake Pandemic News Detection Using Artificial Intelligence Techniques
– According to research, fake news spreads faster than real and trustworthy ones. Since the start of COVID-19 pandemic in 2019, a plethora of rumors and false news circulated that caused significant problems in identifying the validity of facts. Disinformation harms every aspect of society in ways…
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Web-Based Pharmaceutical Sales Prediction Application Using Deep Learning
Abstract – The research focuses on developing a web application that facilitates pharmaceutical companies' gains from effective sales forecasting. Many drugs expire quickly, and people need them to stay healthy. This boosts profits and keeps customers happy. Both sides win. The industry must crack…
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Emotion Recognition from Text: A Comparative Study of Machine Learning and Deep Learning Models
Abstract—Emotion recognition from textual data has become increasingly vital in domains such as sentiment-aware systems, conversational agents, and mental health analysis. Despite significant progress, accurately detecting emotions from text remains a challenging task due to the lack of prosodic…
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The Evolution of Software Effort Estimation Models
Abstract – Software effort estimation is the process of estimating the amount of time, effort, and money required to develop and manage software. It has an important role in software project planning and management. It impacts activities such as bidding, budgeting, and resource allocation. However…
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Quantum Operating System Architecture, Resource Management, and Workflow Optimization: Design Perspectives and Strategic Frameworks
Abstract – Inspired by the ideas of quantum physics, quantum computing is a modern computational paradigm. It is one of the rapidly growing areas in computer science, mathematics, and physics. It has high speed and efficiency by making use of phenomena such as superposition, entanglement, and…
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Citation Sentiment Classification using XLNet & Transformer Models on a Comprehensive Corpus
Abstract – The analysis of citation sentiment has emerged as an important research direction for understanding the polarity of scholarly communication beyond citation counts. Existing studies are often limited by class imbalance in available datasets and the lack of robust models that can capture…
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Comparative Analysis of Photovoltaic Power Generation System and Economical Impact
Abstract— There has been a significant growth in the production of electrical energy from renewable energy sources in recent years. It comes from major power plants that are connected to the grid or from standalone systems in isolated locations without grid supplies. Distributed renewable energy…
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Smart Home Automation and Security System Using Wi-Fi Android Mobile Application
Abstract – Smart home automation is a controlled integration of electrical and electronic systems designed to manage various types of home equipment. This smart technology covers the way how to control centralized system and offers a comprehensive control of home security. In this paper, a smart…
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A Region-based Illumination Fusion Method for Low-Light Image Enhancement
Abstract – Taking good quality outdoor images poses interesting challenges since such scenes often experience poor visibility caused by weather conditions such as smog or fog. Image enhancement plays an important role in any field of life such as military, security surveillance, monitoring cameras…
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AI-driven Decision-Making Models for Strategic Management: A Comprehensive Framework for Organizational Excellence in the Digital Era
Abstract – The rapid development of artificial intelligence (AI) technologies has fundamentally transformed strategic decision-making processes in organizations worldwide. Traditional strategic management frameworks are increasingly being augmented or replaced by AI-driven models that promise…
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Data-Driven HR Analytics for Employee Retention: A Machine Learning Approach to Predictive Talent Management and Workforce Optimization
Employee turnover remains a persistent global challenge, with annual rates ranging from 25% to 60% across industries and replacement costs often exceeding 50–200% of an employee’s annual salary. This study develops and validates an integrated data-driven framework that combines HR analytics and…