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Applied Computational Intelligence and Soft Computing
Scopus
ISSN 1687-9724 · Wiley · 570 artikel di indeks
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Artikel Jurnal
Automated Diagnosis of Lower Limb Alignment Deformities Using Deep Learning and Joint Orientation Analysis
The misalignment of the lower limbs may cause serious musculoskeletal issues when not discovered at the initial stage, but the traditional methods of diagnosis are subjective, time-consuming, and rely on clinical experience. In solving these problems, this paper will present an automated…
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Artikel Jurnal
A Comparative Analysis of Machine Learning and Deep Learning Approaches for Multiclass Nucleus Classification in Histological Images
Precisely classifying cells in histological images is critical for early cancer diagnosis and tumor assessment. Traditional manual methods are time-consuming and labor-intensive for histopathologists, driving the development of automated approaches using machine learning (ML) and deep learning…
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Clustered Partial Explanation: A Multilevel Framework for Contextual Model Interpretation in Clinical Decision Support
The increasing integration of artificial intelligence into clinical decision-making underscores the need for transparent and trustworthy predictive models. Explainable artificial intelligence has emerged to address this challenge; however, most existing approaches rely exclusively on global or…
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Artikel Jurnal
Adversarial Attack Detection in Federated Learning Using Quantum Recurrent Neural Network
Adversarial attacks in network systems manipulate data to deceive networks, impacting domains like image recognition and natural language processing. Attackers exploit algorithm weaknesses, creating misleading inputs that lead to inaccurate outcomes. Defending against these evolving threats is…
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Artikel Jurnal
A Blockchain-Driven Approach to Enhancing Transparency and Traceability in Organic Food Supply Chain Management
This paper proposes a novel blockchain-based system designed to revolutionize transparency, traceability, and reliability within the organic food supply chain. Addressing persistent challenges such as certification fraud, opaque supply chains, and the high costs associated with organic food…
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Artikel Jurnal
Optimizing the Shortest and Safety Pathways in Infectious Disease Context via the Novel Dhouib-Matrix-SPP Method
In this paper, the shortest path problem is considered with emphasis on reducing the COVID-19 contamination risk. Generally, the shortest path problem focuses on planning the minimal path considering the path distance criterion, and here the aim is to generate the shortest safe path with obstacles…
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Artikel Jurnal
Essential Protein Identification Using FCNN and Harris Hawks Optimization
This research addresses the critical task of computationally identifying essential proteins, vital for organismal survival, disease understanding, and drug discovery. Existing methods face limitations with diverse biological data, significant class imbalance, and complex model optimization. To…
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Artikel Jurnal
NeuroAssist: A Hybrid SEMoNet Framework for Brain Tumour Classification From MRI With Patient-Centred Conversational Support
Brain tumour classification (BTC) remains a critical challenge in clinical neuro-oncology due to the high variability of tumour morphology and the need for rapid, accurate diagnosis to support timely intervention. Magnetic resonance imaging (MRI) is the clinical standard for noninvasive brain…
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Artikel Jurnal
Optimizing Fast Learning Network Using Fuzzy Adaptive Metaheuristic Algorithms for Robust Intrusion Detection
In today’s digital era, the prevalence of cyberattacks requires robust security measures to keep sensitive and confidential information and infrastructure safe and secure. The intrusion detection system (IDS) plays the most vital role in this aspect by serving as a first-line defense against these…
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AI-Based Approaches for Analyzing EEG Signals to Identify Epileptic Seizures: A Survey
Electroencephalography (EEG) is a fundamental tool for monitoring brain activity and is widely used in the diagnosis and management of epilepsy. With the growing prevalence of epilepsy and the limitations of manual EEG interpretation, artificial intelligence (AI) techniques, particularly machine…
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Artikel Jurnal
Sales Prediction in Omnichannel Distribution Systems Based on Consumer Behavior Using Process Mining and ARIMAX
Omnichannel distribution integrates multiple sales channels into a single management platform to enhance customer experience. However, the complexity of consumer behavior data across channels often prevents business owners from effectively analyzing and predicting sales. This study proposes a sales…
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Artikel Jurnal
GSDF-Gait: A GCN and Self-Attention Dynamic Fusion Network for Gait-Based Person Recognition
Graph convolutional networks (GCNs) are extensively used for skeleton-based gait recognition. Nevertheless, despite significant improvements, a substantial challenge lies in the restricted receptive field of GCNs. However, separate structural joints could also reveal a notably important…
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Artikel Jurnal
Generative Augmentation and Temporal Feature Extraction With Deep Learning for Enhanced Malaria Stage Classification
Malaria is one of the most serious public health challenges that requires effective diagnostic methodologies in aid of its management and control. The work herein proposes a hybrid deep learning model that merges GANs with LSTMs to classify malaria parasites through imaging. Feature extraction is…
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Artikel Jurnal
PSO Algorithm on PAPR Reduction Performance of Asymmetrically Clipped Optical-OFDM
This research presents a novel hybrid optimization framework combining artificial neural networks (ANN) and particle swarm optimization (PSO) to mitigate the high peak-to-average power ratio (PAPR) in asymmetrically clipped optical-orthogonal frequency division multiplexing (ACO-OFDM) systems…
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Artikel Jurnal
Face Recognition Using DCT–FFT Preprocessing and Transfer Learning Under Multiple Constraints
While significant progress has been made in face recognition under individual environmental constraints, comprehensive approaches that address multiple simultaneous challenges—such as occlusion and pose variation—remain relatively scarce in the literature. Most existing recognition models are…
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Artikel Jurnal
Ensemble Modeling for Global Forecasting of Monkeypox Incidence Using Statistical and Machine Learning Approaches
Accurate forecasting of Monkeypox outbreaks is essential for timely public health interventions and effective resource allocation globally. While numerous statistical and machine learning models have been applied to disease prediction, limited research has systematically compared ensemble…
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AHP-Based Consensus Model for Probabilistic Hesitant Fuzzy Preference Relations With Application of Sustainable Green Manufacturing Technology Assessment
Multicriteria group decision-making (MCGDM) under epistemic uncertainty requires robust systems that can manage both experts’ doubt and their confidence in results. The representation of judgments through probabilistic hesitant fuzzy preference relations (PHFPRs) provides detailed information, yet…
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Artikel Jurnal
Explainable Hybrid Document Retrieval for Amharic: Integrating BM25 and XLM-R
Information retrieval (IR) plays a critical role in efficiently accessing relevant information. However, for low-resource languages such as Amharic, IR research remains limited, and existing systems continue to rely heavily on sparse retrieval strategies. These approaches often struggle to identify…