Ying Cao¹, Penghui Zhao¹, Xinyu Qiao¹, Ningfan Zhan¹, Xiaomei Zou^2,*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.084057 - 23 July 2026

Abstract Multimodal Sentiment Analysis (MSA) integrates diverse modalities to identify emotional states, yet performance often suffers in scenarios with missing data. In this situation, despite the promising results of recent methods, the failure of part methods to fully exploit the latent valid information contained in incomplete modalities may degrade predictive performance. Besides, to address the oversight of varying contributions across modalities to sentiment understanding, the score-based weighting schemes in the exhibited methods remain overly sensitive to data fluctuations, leading to unstable and unreliable predictions. To this end, we propose a novel method, Data Mining and Uncertainty-Aware… More >

Xianhui Fan¹, Zongwei Li^1,*, Yuxuan Zhai¹, Zhenyu Li²

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.083491 - 23 July 2026

Abstract Single-wave order picking in dynamic warehouses is a sequential multi-goal navigation problem. A robot must visit an ordered set of shelves and then a delivery station while avoiding moving obstacles under partial observability. Existing approaches either entangle long-horizon task logic with low-level obstacle avoidance or rely on static-environment assumptions that limit responsiveness in dynamic settings. This paper proposes the Single-Wave Dynamic Warehouse Navigation System (SW-DWNS), a lightweight scheduling framework that extends a pretrained ColorDynamic point-to-point local planner to ordered warehouse picking without retraining. The scheduler maintains a shelf queue, exposes only the active subgoal to… More >

Jing Liu^1,2, Weijie Tan^1,2,3,*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.083401 - 23 July 2026

Abstract Due to its low hardware cost and ease of deployment, WiFi fingerprinting has become a prominent research direction in indoor positioning. However, traditional methods based on Received Signal Strength (RSS) still face three critical challenges: susceptibility to noise interference, low retrieval efficiency as fingerprint databases scale up, and trajectory instability in dynamic environments. These challenges are inherently rooted in the stochastic fluctuation of RSS signals, the high-dimensional and non-Euclidean nature of fingerprint space, and the unpredictability of user movement patterns. To address these limitations, an adaptive trajectory-assisted dynamic indoor positioning algorithm based on RSS fingerprinting,… More >

Pei Xie¹, Xiaoying Yang^1,*, Bo Li¹, Zhijie Pei¹, Fenghai Yang²

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.083100 - 23 July 2026

Abstract To address the critical requirements for collaborative delivery of multiple tasks within each order in personalized mass customization, this paper develops a dynamic parallel machine scheduling model that accounts for stochastic machine failures and order priorities, thereby more accurately reflecting the uncertainties and complexities of real-world production environments. A dual-objective optimization framework is adopted to minimize both the makespan (maximum task completion time) and the variance of task completion times, aiming to improve the coordination and reliability of intra-order task delivery. An adaptive weighted reward function is designed to balance overall scheduling efficiency with consistency… More >

Suchang Yang, Hongtao Yu^*, Ruiyang Huang, Huansha Wang, Ran Li, Junzheng Li

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.082651 - 23 July 2026

Abstract Modeling dynamic graphs in continuous time is critical for applications such as user behavior prediction and recommendation systems. These models can effectively capture fine-grained and long-term temporal dependencies. However, existing approaches often suffer from high computational costs and optimization difficulties, especially when handling time-sorted neighborhood sequences over long horizons. In this work, we propose DyG-Hyena, a novel continuous-time dynamic graph learning framework that combines conditional variational autoencoder (CVAE)-assisted temporal modeling with efficient feature fusion. Our approach has two main innovations: (i) Efficient temporal fusion—we replace the Transformer with an improved, lightweight Hyena module to model More >

Alaa M. Momani¹, Deema Mohammed Alsekait², Mahmoud Ahmad Al-Khasawneh^1,*, Siti Hajar Othman³, Ibraheem Al-Tarawneh⁴, Nikunj Sharma⁵, Wee How Khoh⁶

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.082572 - 23 July 2026

Abstract Unmanned Aerial Vehicles (UAVs) are finding more and more applications in logistics, surveillance, and other operations at a large scale. However, autonomous navigation in dynamic traffic situations is not an easy task due to limited energy, moving obstacles, and inter-agent interactions. The proposed paper can be discussed as a Generative World Modeling (GWM) framework of risk-focused UAV navigation in the dynamic traffic network. This paper proposes a GWM framework for risk-aware UAV navigation in dynamic traffic networks. The proposed design incorporates three key elements; a generative world model for predicting future environmental conditions, a diffusion-based… More >

Jiahua Kou¹, Chengbo Guo^1,*, Weiyue Xing¹, Zheng Yang¹, Jiaxuan Cao¹, Shufa Sun¹, Yanling Guo²

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.081445 - 23 July 2026

Abstract Dynamic objects in LiDAR SLAM often introduce ghosting artifacts that degrade map quality. While offline methods can successfully clean these maps, they lack real-time capabilities. Conversely, online methods often suffer from state oscillation (where moving objects are misclassified as static when they temporarily stop) and incomplete point cloud removal. To address these challenges, we propose DGMSE, a real-time framework for removing dynamic point clouds in complex urban environments. Our approach consists of three sequential steps. First, the PointPillars 3D detection network quickly isolates potential dynamic objects, significantly reducing computational overhead. Second, to mitigate state oscillation, More >

Shijia Lu^1,#, Yanmin Wang^1,#, Han Zhang¹, Mengjia Yan¹, Mengdan Sang², Jinle Wang¹, Huaying Du³, Jinwen Sima³, Yiran Zhen², Xue Yang², Yutong Zhang¹, Hongwei Zhou^1,*

Oncology Research, Vol.34, No.8, 2026, DOI:10.32604/or.2026.079988 - 16 July 2026

Abstract Proliferating Cell Nuclear Antigen (PCNA) is a core protein in DNA replication and repair. Its functional dysregulation drives tumorigenesis and therapeutic resistance, making it a critical anticancer target. However, the fundamental conflict between PCNA’s indispensable “guardian” function in normal cells and its hijacked “accomplice” role in cancer cells constitutes the central challenge for targeted intervention: how to eradicate tumors while avoiding severe toxicity to normal tissues. This review aims to systematically review the latest advances and translational dilemmas in the field of PCNA-targeted therapy. It outlines various intervention strategies, including small-molecule inhibitors, proteolysis-targeting chimeras, post-translational More > Graphic Abstract

Gábor Hasulyó^*

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.081099 - 12 July 2026

Abstract The current global energy situation is very fragile. Much more stable and predictable energy security is needed. Due to global climate conditions, it is advisable to prioritize fuels that are high in energy content and relatively easy to produce, such as hydrogen. However, the widespread deployment of hydrogen refueling stations is hampered by significant safety challenges, including hydrogen’s high flammability, its tendency to leak, and high-pressure storage requirements. This study examines how digital twin technology can be implemented to improve the safety and operational efficiency of hydrogen facilities. A dynamic digital twin model was developed… More >

Omar Ghoulam¹, Hind Talbi^1,2, Kamal Amghar¹, Hamza Faraji^3,*, Saloua Senhaji⁴, Ismael Driouch¹

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.076813 - 12 July 2026

Abstract This study numerically investigates turbulent flow and thermal performance in evaporator tubes equipped with rectangular partitions positioned at different locations. Two configurations are analyzed: (A) partitions on the top wall, center of channel, and bottom wall, and (B) partitions on the bottom wall, center of channel, and top wall. In addition, we examine the effect of varying the positions of the obstacles (S=D2,S=D,S=5D4, andS=3D/2) and the inclination angle (θ=60∘, θ=75∘, θ=90∘, θ=105∘ and θ=120∘) of the detached obstacle relative to the walls, an innovative aspect that had not been addressed in previous studies. More >