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Complex & Intelligent Systems
Scopus
ISSN 2198-6053 · Springer · 1.641 artikel di indeks
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Artikel Jurnal
Electro-textile smart chair cover for multi-class office sitting posture recognition: subject-independent and cross-chair validation with mobile IoMT feedback
Abstract Prolonged sitting in office environments is a complex, human-centered behavior shaped by inter-subject variability (e.g., BMI/anthropometry), real-world uncertainty caused by furniture changes and sensing variability. This study proposes an internet of medical things (IoMT) sitting posture…
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Artikel Jurnal
CDM-CSNet: a conditional diffusion model-based image compressive sensing reconstruction network
Abstract Compressive sensing (CS) has provided a robust framework for reconstructing high-dimensional signals from sub-Nyquist measurements. Recently, the generative power of conditional diffusion models (CDMs) has opened new avenues for solving ill-posed inverse problems. Inspired by these…
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Artikel Jurnal
ABD-CLIP: anomaly-aware bidirectional CLIP with temporal graph-former for weakly supervised video anomaly detection
Abstract Video anomaly detection is crucial for intelligent surveillance, yet existing vision-language models such as CLIP still struggle with surveillance videos due to fixed viewpoints, illumination variations, weak object semantics, and insufficient temporal reasoning. To address these…
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Artikel Jurnal
Reinforcement learning-based adaptive particle swarm optimization
Abstract The particle swarm optimization (PSO) algorithm has demonstrated excellent performance in several fields as a widely used optimization method. However, PSO frequently encounters difficulties with poor convergence speed and inadequate convergence accuracy while handling complex optimization…
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Artikel Jurnal
Cascaded deep neural network framework for fixed-wing UAVs maneuvering simulation model
Abstract Fixed-wing unmanned aerial vehicles (UAVs) are characterized by their high efficiency, low cost, and flexibility, indicating a broad spectrum of developmental prospects. The construction of maneuvering simulation models for fixed-wing UAVs can effectively extend their application, hence…
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Artikel Jurnal
CET-Track: exploring fine-grained information enhancement for visual-language object tracking
Abstract Vision-language (VL) tracking leverages natural language descriptions to provide richer semantic guidance for target localization in video sequences. However, prevailing methods exhibit notable limitations in spatial detail modeling, cross-modal semantic correlation, and feature…
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Artikel Jurnal
Distributed biconnectivity-preserving flocking with fast obstacle avoidance for UAV swarms
Abstract Obstacles in low-altitude environments force unmanned aerial vehicle (UAV) swarms to frequently alter their flight paths and communication links, which can easily cause network interruptions. It remains a significant challenge for UAV swarms to rapidly traverse obstacle-rich environments…
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Artikel Jurnal
Eagle: three-level entropy-driven object detection via mmWave radar and camera fusion
Abstract Multi-modal fusion has emerged as a promising paradigm for modern object detection systems. However, existing works often involve substantial redundant computation during the stages of feature extraction, processing, and fusion, thereby limiting their ability to achieve both high accuracy…
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Artikel Jurnal
Edge-efficient AI for acoustic channel estimation in resource-constrained subsurface IoT systems
Abstract Resource-constrained subsurface Internet of Things (IoT) systems require artificial intelligence (AI) solutions that are not only accurate, but also efficient and robust under limited sensing, computation, and communication capabilities. In underground and other opaque heterogeneous…
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Artikel Jurnal
EduChatQA: curriculum-aware hybrid retrieval and teacher-aligned prompting for textbook-grounded educational QA
Abstract The emergence of large language models (LLMs) has opened new possibilities for education-oriented question-answering (EQA) systems. Nonetheless, limitations in textbook-grounded retrieval, multi-turn discourse control, and response-quality assessment remain pressing challenges. This study…
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Artikel Jurnal
FESS-Grasp: a feature enhancement and segmentation sampling based framework for high generalization 6-DoF grasping pose estimation
Abstract Robotic grasping in cluttered environments struggles with low generalization to novel and small-scale objects. Existing methods often fail to adequately capture discriminative features, resulting in poor generalization to small-scale or novel objects. To address these challenges, this…
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Artikel Jurnal
Sugeno–Weber based WASPAS in Fermatean neutrosophic structure
Abstract Handling vague, inconsistent, and incomplete information remains a significant challenge in multi-criteria group decision-making (MCGDM) under uncertainty. To address this issue, this study proposes a novel framework for MCGDM in uncertain environments. Specifically, we develop two novel…
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Artikel Jurnal
A chord-controlled transformer for controllable and coherent music generation
Abstract AI music generation faces significant challenges in musical coherence and user controllability, particularly in adhering to specific harmonic structures like chord progressions. While recent large-scale models have shown increasing promise, achieving long-term structural integrity remains…
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Artikel Jurnal
Deep recommendation algorithm based on reviews and descriptions neural matrix factorization under cold-start
Abstract Existing recommendation methods rely solely on ratings or review interactions to determine user preferences, resulting in inability to make recommendations during the cold-start phase of a new item. This paper proposes a RDNMF(Reviews and Descriptions Neural Matrix Factorization) model…
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Artikel Jurnal
Multi-view feature fusion and contrastive representation learning for pipeline leak detection
Abstract Pipeline leak detection is critical for water resource security and infrastructure stability. Existing deep learning approaches suffer from several limitations, such as monolithic feature representation, inadequate multi-view fusion, and heavy reliance on labeled data. We propose MVFCD, a…
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Artikel Jurnal
Dual graph architecture with temporal dynamics for enhanced knowledge tracing
Abstract Online education demands precise knowledge state tracking for personalized learning. Current methods struggle to model both knowledge dependencies and dynamic learning patterns. This paper proposes STDG-KT, a dual graph framework integrating static knowledge relationships and temporal…
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Artikel Jurnal
Bridging CNNs and transformers: a mamba-based detection framework for intelligent traffic scenarios
Abstract UAV object detection in intelligent transportation systems suffers from extreme scale variation, complex background confusion, and resource constraints of optical sensing applications. We present CY-DETR, a lightweight detection transformer framework for UAV aerial surveillance scenarios…
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Artikel Jurnal
A lightweight adaptive feature-domain defogging dynamic convolutional network for object detection in foggy conditions
Abstract Rapid and accurate Advanced Driver Assistance Systems (ADAS) Object Detection in foggy environments is crucial for autonomous driving tasks. Existing methods typically enhance images before detection, which compromises real-time performance. Popular detectors also rely on stacks of static…
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Artikel Jurnal
Well path lightweight prediction model construction method for rotary steerable system based on composite knowledge distillation
Abstract The rotary steerable system (RSS) is a critical directional drilling technology where accurate well path prediction is essential for operational precision and efficiency. Existing methods struggle to balance accuracy and model complexity: high-accuracy models are too large for downhole…
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Artikel Jurnal
StrokeFuse-AttnNet: a hybrid feature fusion and self-attention model for stroke detection using neuroimages
Abstract Stroke detection and classification from computed tomography (CT) remains a critical and challenging task in medical imaging due to the complexity of lesion patterns, noise variations and unbalanced datasets. In this study, we propose a novel hybrid deep learning model, StrokeFuse-AttnNet…
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