Ravi Saharan, Akrisht Singh, Prakash Choudhary^*

Computer Systems Science and Engineering, Vol.50, pp. 1-20, 2026, DOI:10.32604/csse.2026.081278 - 21 September 2026

Abstract The task of monitoring crowds for safety is a critical challenge, yet traditional surveillance systems are often visual only, error-prone, and lack interpretability. This paper presents SAFE (Semantic Audio-Visual Fusion Engine), a real-time, multi-modal framework that delivers interpretable, operator-facing alerts by fusing complementary audio-visual cues. The visual pipeline couples SSD–ResNet face detection and Hungarian tracking with facial emotion recognition and DBSCAN-based clustering of negative affect to compute a semantic visual anomaly score that includes an explicit overcrowding signal. In parallel, the audio pipeline extracts MFCCs (Mel-Frequency Cepstral Coefficients) and employs a lightweight one-dimensional convolutional neural… More >

Bao Nguyen^*, Ngan Nguyen Xuan Phuong^*

Intelligent Automation & Soft Computing, Vol.41, pp. 105-137, 2026, DOI:10.32604/iasc.2026.088941 - 21 September 2026

Abstract Autonomous unmanned aerial vehicles (UAVs) operating in dense three-dimensional environments require predictive models that can represent multiple plausible futures while estimating the safety consequences of these futures. This paper presents a hybrid diffusion world model for short-horizon UAV trajectory forecasting and probabilistic collision-risk estimation. The model conditions on historical UAV states and executed actions, depth observations, and safety-context variables to generate multiple future relative-motion trajectories over a 1.0-s prediction horizon, while jointly estimating collision probability, near-miss probability, and obstacle-clearance information. A task-specific synthetic UAV dataset based on locations in Vietnam containing 1000 in-distribution episodes and… More >

Anil Carie^1,*, Sanjeev Kumar Makala¹, Satish Anamalamudi¹, Shaik Teena¹, Awadhesh Dixit¹, Pandu Sowkuntla¹, Bhaskar Marapelli²

Intelligent Automation & Soft Computing, Vol.41, pp. 139-166, 2026, DOI:10.32604/iasc.2026.088003 - 21 September 2026

Abstract Connected Vehicle-to-Everything (C-V2X) networks rely on Basic Safety Messages (BSMs) for cooperative awareness, but authenticated vehicles can still transmit falsified kinematic data—an insider attack that cryptographic authentication cannot prevent. Existing misbehavior detection systems (MDSs) achieve high detection rates on static benchmarks yet provide no formal guarantee that honest behaviour is a rational vehicle’s dominant strategy. We present a four-layer hierarchical trust architecture for 5G New Radio (NR) C-V2X that integrates edge AI detection, cloud large language model (LLM)-driven weight calibration, game-theoretic conviction, and ledger-anchored payoff tracking. A Nash equilibrium gate, calibrated with a wide margin… More >

Weihang Qiu¹, Bo Zhang², Zhaofeng Gu^2,*, Zijun Liu², Xiang Shen², Yimin Chen^1,2,*

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.089518 - 18 September 2026

Abstract This study presents electron-beam evaporated As₂Se₃ films tailored for far-infrared heterogeneous metalenses. Characterization via X-ray diffraction and Raman spectroscopy reveals a structurally relaxed network in the films compared to bulk glass, resulting in enhanced infrared transmittance, a reduced refractive index, and a lower glass transition temperature. However, thermal expansion mismatch is found to induce cracking in thick films subjected to thermal cycling. The As₂Se₃/BaF₂ system demonstrates superior adhesion, attributed to a minimal thermal expansion mismatch (Δα < 2.5 × 10⁻⁶°C⁻¹). Notably, an 8 μm thick film endures over thirty rapid heating and liquid nitrogen quenching cycles without More >

Minghui Tan^1,2, Fei Wang^2,*, Shan Yuan^1,2, Xinli Li¹, Jingxia Gao², Jinping Zhang^2,*, Yong Zhang², Lei Shi³

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.088891 - 18 September 2026

Abstract Li/Na/K-ion batteries show huge potential in next-generation energy storage systems, but the limited theoretical capacity of commercial graphite anodes and the relatively large radius of Na/K ions seriously restrict further development, making it urgent to develop new high-performance anode materials. This article begins with the research hotspots of selenide anode materials and systematically reviews the applications of DFT calculations in the field of Li/Na/K-ion battery selenide anodes, covering transition metal dichalcogenides (MoSe₂, TiSe₂), Janus structures (VSeTe, WSSe), transition metal carboselenides (Zr₂Se₂C, Sc₂Se₂C), multi-anion bridged phosphoselenides (MoScP₂Se₆), main-group element layered selenides (Si₂Se₂, SiSe₂, β-GeSe, γ-GeSe, β-CSe, GeSeNS, SnS_2(1−x)Se_2x), as well… More >

Huo Ye¹, Jiantong Li², Lingna Xu^3,*

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.087654 - 18 September 2026

Abstract SF₆ is the primary insulating and arc extinction medium in gas-insulated switchgear (GIS). Sulfur hexafluoride (SF₆) decomposes to create diagnostic markers, such as sulfur dioxide (SO₂), thionyl fluoride (SOF₂), and hydrogen sulfide (H₂S) when electrical problems occur, such as partial discharge and local overheating. Accurate quantification of these fault-marker gases is important for the early identification of insulation defects and the condition assessment of SF₆-insulated equipment. Molybdenum disulfide (MoS₂) is a well-known and atomically thin van der Waals semiconductor that has attracted considerable attention as a platform for gas-sensing applications. This is due to its large accessible surface area,… More >

Holy Oghenewona Ovwiurhobo¹, Marius O. Eji², Adil Alshoaibi³, Ndanduleni Lethole⁴, Chawki Awada³, Shumaila Islam³, Nisrin Alnaim³, Fabian I. Ezema^1,4,*

Chalcogenide Letters, Vol.23, No.8, 2026, DOI:10.32604/cl.2026.086712 - 18 September 2026

Abstract Several studies have reported a growing interest in nanomaterials beyond conventional graphite, driven by the rapid global demand for sustainable, high-performance energy storage. Among these materials, two-dimensional (2D) transition metal chalcogenides (TMCs), molybdenum- and tin-based systems such as molybdenum disulfide (MoS₂) and tin (IV) disulfide (SnS₂) in particular, have emerged as promising candidates for next-generation electrochemical energy storage devices (EESDs). This is owing to their unique X-M-X sandwich architectures, tunable electronic properties, and versatile intercalation chemistry. Despite several studies on 2D TMCs and their applications in EESDs, a gap still exists, as there is no comprehensive… More > Graphic Abstract

Zhijie Lin¹, Chao Yang^1,2,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.090428 - 15 September 2026

Abstract This article has no abstract. More >

Jihoon Moon^*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.089115 - 15 September 2026

Abstract Large language models and retrieval-augmented generation (RAG) systems are increasingly employed to transform evidence into decision-facing briefings, alerts, and recommendations. In these settings, explainability cannot be evaluated merely by fluency, readability, or factual correctness. A briefing may be factually correct while still being unsafe if it cites sources that do not substantiate the claim, suppresses uncertainty, converts correlational evidence into causal language, recommends an unauthorized action, or leaves no auditable path for human review. This review synthesizes 104 sources spanning explainable natural language processing (NLP), faithful explanation, hallucination and factuality evaluation, RAG, citation faithfulness, uncertainty… More >

Xiusen Wang^1,*, Zheng Fang², Jie Chen^2,*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.088952 - 15 September 2026

Abstract Complex networks in cyber–physical, transportation, and information infrastructures operate under topology variations, unmeasured disturbances, and limited actuation. This paper proposes robust disturbance-aware data-driven decision control (R-D3C), which couples a sliding-window graph-regularized estimator, disturbance-envelope adaptation, sparse intervention allocation, receding-horizon optimization, and a robust safety projection. The theory directly bounds the dynamic prediction regret of the implemented sliding-window estimator. A checkable sufficient condition for safety-filter feasibility is coupled with an explicit slack-and-backup fallback when the strict projection is infeasible. Practical input-to-state stability and sparse-allocation risk reduction are established. The nominal comparison uses 30 paired runs with standard More >