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Intelligent Systems with Applications
Scopus
ISSN 2667-3053 · Elsevier · 593 artikel di indeks
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Artikel Jurnal
Generative artificial intelligence for heart sound analysis: From model architectures to clinical applications
Cardiac auscultation involves listening to heart sounds to diagnose cardiac conditions. Accurate interpretation of these sounds requires considerable experience, which limits consistency among clinicians and across settings. Although deep learning offers a path toward automation, data scarcity…
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Artikel Jurnal
Buyer–Seller-Deception-Game Dataset: A new comprehensive dataset for facial expression based deception detection in economic contexts
Automated deception detection using only video and audio modalities remains a challenging problem in computer vision. Deceptive behavior is highly context dependent, shaped by factors such as the specific scenario, cultural background, and the associated stakes. To explore the potential of future…
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Artikel Jurnal
Video anomaly detection for edge-based IoT systems: A survey of input modalities and real-time applications
With the vast amount of video data generated daily, researchers have become increasingly interested in extracting meaningful information, particularly for analyzing abnormal events. This growing interest has accelerated progress in video anomaly detection (VAD) as a specialized subfield of computer…
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Artikel Jurnal
Exoformer: An improved transformer architecture for long-term time series forecasting based on multi-source data
Transformer models have achieved significant success in time series forecasting, but relying solely on endogenous information is insufficient to achieve high accuracy. To enhance predictive performance, some systems have used information from multiple sources, providing additional insights to…
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Artikel Jurnal
An efficient lightweight multi-scale CNN framework with CBAM and SPP for bearing fault diagnosis
Rolling bearing degradation produces vibration signatures that vary across operating conditions, posing challenges for reliable fault diagnosis. This study proposes an adaptive and lightweight diagnostic framework combining a Depthwise Separable Multi-Scale CNN (DSMSCNN) with Convolutional Block…
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Artikel Jurnal
IndiSegNet: Real-time semantic segmentation for unstructured road scenes in intelligent transportation systems
Autonomous driving in developing regions demands perception systems that can operate reliably in unstructured road environments marked by heterogeneous traffic, weak or missing lane geometry, frequent occlusions, and strong appearance variability. Existing semantic segmentation models, although…
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Artikel Jurnal
Advancing decision-making: A comprehensive review of intelligent systems, applications, and challenges
The rapid evolution of intelligent systems, powered by artificial intelligence and machine learning, has created a fragmented research landscape. While numerous studies exist on specific applications, a holistic synthesis of their architectures, taxonomies, applications, and challenges is absent…
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Artikel Jurnal
A study on the generalization of DINOv2 features for food recognition tasks: A unified evaluation framework
Self-supervised learning has recently gained increasing attention in computer vision, enabling the extraction of rich and general-purpose feature representations without requiring large annotated datasets. In this paper we aim to build a unified approach capable of deploying robust and effective…
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Artikel Jurnal
WOA-FCM-CNN-WNN-informer: An advanced hybrid deep learning model for ultra-accurate PV power forecasting in electric mobility
Effective prediction of photovoltaic (PV) power generation is essential for enhancing energy management in solar-powered electric vehicles. This study introduces an innovative hybrid forecasting framework that combines Fuzzy C-Means (FCM) clustering, Convolutional Neural Networks (CNN), Wavelet…
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Artikel Jurnal
Attention-enhanced reinforcement learning for dynamic portfolio optimization
We propose a deep reinforcement learning framework for dynamic portfolio optimization that combines a Dirichlet policy with cross-sectional attention mechanisms. The Dirichlet distribution enforces feasibility by construction, accommodates tradability masks, and provides a coherent geometry for…
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Artikel Jurnal
Optimisation of energy management in IoT devices using LSTM models: Energy consumption prediction with sleep-wake scheduling control
The Internet of Things is an enormous network of interrelated devices that makes intelligent interaction and high-level control possible in various environments, such as smart homes, smart cities, and industry, by collecting, processing, and transferring data. The majority of the low-power devices…
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Artikel Jurnal
Blind steganalysis-driven secure transmission validation using feature-based classification in JPEG images
Information technology and digital media have significantly improved in recent years, facilitating the internet as an effective channel for communication and data transmission. Nevertheless, the rapid advancement of technology has rendered data a source of mismanagement and vulnerable to…
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A GCN and Graph Self-Attention Contemporary Network with Temporal Depthwise Convolutions for Gait Recognition
Skeleton-based gait recognition has significantly improved due to the advent of graph convolutional networks (GCNs). Nevertheless, the classical ST-GCN has a key drawback: limited receptive fields fail to learn the global correlations of joints, restricting its ability to extract global…
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Artikel Jurnal
Personalized two-stage comparison-based framework for low-to-mid-intensity facial expression recognition in real-world scenarios
We evaluate a personalized, two-stage comparison-based FER framework on two datasets of low-to-mid-intensity, near-neutral expressions. The framework consistently outperforms FaceReader and Py-Feat. On the natural-transition younger-adult dataset (Dataset A, n = 9), mean accuracy is 90.22% ± 3.53%…
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Artikel Jurnal
Generative AI for autonomous data analytics
Recent advancements in Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) have revolutionised software engineering (SE), augmenting practitioners across the SE lifecycle. In this paper, we focus on the application of GenAI within data analytics—considered a subdomain of…
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Artikel Jurnal
A systematic review of vision transformer and explainable AI advances in multimodal facial expression recognition
Facial expression is one of the most important indicators used to convey human emotions. Facial expression recognition is the process of automatically detecting and classifying these expressions by computer systems. Multimodal facial expression recognition aims to perform a more accurate and…
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Artikel Jurnal
Vision transformers in precision agriculture: A comprehensive survey
Detecting plant diseases is a crucial aspect of modern agriculture, playing a key role in maintaining crop health and ensuring sustainable yields. Traditional approaches, though still valuable, often rely on manual inspection or conventional machine learning (ML) techniques, both of which face…
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Artikel Jurnal
Scalable and Adaptive Large-Scale Group Decision Making in Dynamic Social Networks via Graph Convolutional Neural Networks#
As social networks are constantly changing, decision-making in large groups becomes much more challenging. People form new connections, lose old ones, shift their preferences, and change how much they trust others (Qin, Li, Liang & Pedrycz, 2026). Methods that work well in stable settings often…
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Artikel Jurnal
UAV exploration for indoor navigation based on deep reinforcement learning and intrinsic curiosity
The operational versatility of Unmanned Aerial Vehicles (UAVs) continues to drive rapid development in the field of UAV. However, a critical challenge for diverse applications — such as search and rescue or warehouse inspection — is exploring the environment autonomously. Traditional exploration…
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Artikel Jurnal
Novel quantum tunneling and fractional calculus-based metaheuristic for robust global data optimization and its applications in engineering design
Background:: Bound-constrained single-objective optimization and constrained engineering design often feature heterogeneous landscapes and barrier-like structures, motivating search procedures that are scale-aware, robust near constraints, and economical in tuning. Contributions:: We introduce…