2.725 hasil
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International Journal of Computational Intelligence Systems
Scopus
ISSN 1875-6883 · Springer · 2.725 artikel di indeks
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Artikel Jurnal
Deep Learning for MRI-Based Neurological Disease Diagnosis: A Comprehensive Survey of Advances, Challenges, and Benchmarks
Abstract Magnetic Resonance Imaging (MRI) is central to the diagnosis of neurological diseases such as Alzheimer’s disease (AD) and brain tumours, where early and reliable classification remains a pressing clinical need. In recent years, deep learning has transformed medical image analysis, with…
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Artikel Jurnal
Data Protection Challenges in AI-Driven Criminal Justice in the EU and India
Abstract AI has embarked on its functioning upon the Criminal Justice process being evident in matters of crime prevention, investigation, forensic science, trial procedure, and reformation. Though it is of immense use, it is equally creating infringement in the nuances of data privacy and…
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Artikel Jurnal
Cross-linguistic Information Retrieval Between English and Chinese Based on the Neural Network Model
Abstract English and Chinese linguistic conversions are optimal for retrieving information through cross-linguistic content. The information retrieval is maximized using artificial intelligence-based solutions. This article introduces a cross-linguistic information retrieval method to achieve the…
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Artikel Jurnal
Hybrid Model for Freezing of Gait Detection in Parkinson’s Disease: Integrating Manual Features and Deep Learning
Abstract Freezing of gait (FoG) is a common and debilitating symptom of Parkinson’s disease (PD), and its early detection is crucial for timely intervention and improved patient outcomes. Traditional approaches often rely on manually extracted gait features, which may overlook subtle yet clinically…
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Artikel Jurnal
Interactive Teaching Evaluation Method Based on KG-CQA
Abstract Interactive teaching evaluation plays an important role in the development of modern education. Accurately evaluating teaching effectiveness can effectively promote the improvement of classroom education. However, traditional methods of interactive teaching evaluation face limitations such…
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Artikel Jurnal
Parameter Estimation Based on Validity-Aware Gustafson Kessel Clustering
Abstract Regression analysis estimates model parameters to describe the relationship between a dependent variable and one or more independent variables. While classical regression assumes homogeneity among observations, real-world data often exhibit heterogeneous structures. In such cases, fuzzy…
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Artikel Jurnal
An Intelligent Medical Image Denoising Approach Based on Region-Vision Transformer-Based Adaptive Mobile-Unet + + with Kalman Filter for Improved Clinical Diagnosis
Abstract The quality of images and accuracy in diagnosis can be significantly impacted by noise in the medical images. Noise can interfere with diagnostic tasks, such as describing object boundaries, which must be performed for accurate diagnosis. Medical imaging specialists may significantly…
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Artikel Jurnal
A Development of the Circular Non-linear Diophantine Fuzzy Set and Their Application in Cloud Services Provider Selection
Abstract Selecting a reliable Cloud Service Provider (CSP) is a complex multi-criteria decision-making (MCDM) problem due to conflicting criteria and uncertainty in expert evaluations. Traditional methods often fail to handle circular uncertainty and non-linear hesitancy effectively. To address…
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Artikel Jurnal
Application of Symmetric Division Deg Index of Graph Under Fuzzy Environment
Abstract Fuzzy graph theory, renowned for its capacity to manage uncertainty and capture varying degrees of relationships, has surfaced as a powerful framework for modeling and addressing complex problems across diverse domains such as medicine, social networks, and biological systems. Among the…
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Artikel Jurnal
Deploying YOLOv8m and Deep Q-Network for Intelligent Prediction of Pests and Soil-Borne Illness in Sugarcane Fields
Abstract In modern agriculture, integrating AI-oriented pest control and soil monitoring significantly improves crop productivity and sustainability. This article provides an innovative methodology for pest detection and control strategies and facilitates close-up soil monitoring with avoidance of…
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Artikel Jurnal
A Smart IoT-Based System for Early Prediction of Parkinson’s Disease Using Swarm-Assisted Convolutional Neural Networks
Abstract The ever-increasing volume of patient health data presents persistent challenges for automated healthcare systems in accurately classifying and diagnosing various ailments. The complexity of training on diverse variables and redundant data often reduces classification accuracy. Hybrid…
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Artikel Jurnal
Assessing Data Normalization Effects on Electric Vehicle and Tourist Destination Selection: An m-Polar Fuzzy PROMETHEE Perspective
Abstract The m-polar fuzzy (mF) PROMETHEE methodology provides a robust framework for solving multi-criteria group decision-making (MCGDM) problems by combining the flexibility of fuzzy sets with the outranking strength of PROMETHEE. Despite its growing applications, in the literature, no attention…
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Artikel Jurnal
CoachXNet: An Artificial Intelligence and Internet of Things Integrated Platform for Personalized Training and Feedback in Digital Sports
Abstract The recent rise in the popularity of digital sports training tools has brought into focus the need to have intelligent, real-time, and personalized performance analysis. The traditional methods of coaching are not very scalable, flexible, or correct, particularly in remote or…
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Artikel Jurnal
Multitask Learning and BERT Embedding: A Comprehensive Approach to Subjectivity Detection and Aspect-Based Sentiment Analysis
Abstract The proliferation of online platforms has intensified the need for fine-grained sentiment analysis of customer reviews. While traditional Aspect-based Sentiment Analysis (ABSA) focuses on sentiment classification, it often overlooks the crucial distinction between subjective opinions and…
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Artikel Jurnal
A Consensus-Based Inverse Graph Model for Conflict Resolution Incorporating Personalized Individual Semantics
Abstract The inverse graph model for conflict resolution (GMCR) aims to help stakeholders achieve the optimal preferences that can make the desired state an equilibrium. Common interests often drive stakeholders to form interest coalitions. Existing studies on inverse GMCR are primarily conducted…
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Artikel Jurnal
A Multi-Attribute Group Decision-Making Scheme Under q-Rung Orthopair Fuzzy Rough Aczel-Alsina Geometric Aggregation Operators with Applications in Sustainable Transportation
Abstract Increasing transportation-related emissions and congestion progressively challenge sustainable urban development. Within the context of the circular economy, shared mobility concepts, particularly those leveraging the vast logistics networks of postal operators, offer promising…
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Artikel Jurnal
Multi-modal AI-Enabled UAV Network for Fog Dispersal and Runway-Visibility Enhancement at an International Airport
Abstract Fog-related flight disruption is costing big international airports more than Rs 2.5 crores for each such event, while the traditional countermeasures, chemical seeding and thermal heating, are expensive, slow and environmentally damaging. This paper proposes the first field-validated…
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Artikel Jurnal
ViTE-MobileNetV2-ResNet101: Fusion Vision Transformer Encoder and CNNs Based on Spatial Detail Enhancement for Early Diagnosis Skin Cancer
Abstract Skin cancer, particularly melanoma, is an aggressive form of cancer. The problem with human diagnosis is that it is too subjective and inefficient for detecting early signs. Artificial intelligence (AI) is a solution that can clearly be a very efficient, fast, objective, and accurate…
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Artikel Jurnal
Energy-Efficient Task Scheduling in Cloud Computing with EcoTaskOpt: A Hybrid Ant Colony and Particle Swarm Optimization Approach
Abstract Intelligent scheduling of heterogeneous cloud computing systems is the key to energy efficiency, optimal performance and cost and environmental impact reduction. In this paper, a novel ant colony inspired cooperative foraging behavior based meta-heuristic optimization framework named…
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