Thossapon Kaewrakmuk, Jakkree Srinonchat^*

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.081437 - 23 July 2026

Abstract Robotic systems require reliable tactile perception to evaluate object stiffness during physical interaction. This study proposes a lightweight dual-branch architecture, named Hybrid-CNN-ResVgg, designed to improve hardness recognition using data from a low-cost piezoresistive tactile sensor. The model combines a one-dimensional convolutional neural network (1D-CNN) based on a ResNet8-Lite architecture for learning temporal signal patterns and a two-dimensional convolutional neural network (2D-CNN) based on a VGG6-Lite architecture for learning spatial representations derived from Gramian Angular Difference Fields (GADF). A cross-architecture fusion mechanism is introduced to integrate temporal and spatial features while reducing redundant representation learning. Experiments… More >

Mohammad Q. Al-Jamal¹, Mahmoud Al Jamal², Bashar S. Khassawneh^3,*, Ayoub Alsarhan^4,5, Amina Salhi⁶, Tahani Alsubait⁷

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.079984 - 23 July 2026

Abstract Energy sustainability and secure operation are persistent challenges in Internet-of-Things (IoT) wireless sensor networks (WSNs), where limited battery capacity, heterogeneous traffic, and security procedures jointly drive premature node depletion and service degradation. This paper proposes an uncertainty-aware bilevel co-optimization framework that unifies residual-energy prediction with robust, energy-aware scheduling for clustered IoT-WSNs. At the lower level, a lightweight temporal predictor (TCN + LSTM with stochastic sampling) learns short-horizon residual-energy evolution from multivariate, dataset-aligned windows capturing sensing/communication activity, proximity-to-cluster-head effects, and security overhead (authentication latency, key exchange, and rekeying), and produces both point forecasts and uncertainty estimates to… More >

Kuo-Chun Tseng^*, I-Chia Chen, Yu-Chieh Cho

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.076965 - 23 July 2026

Abstract Wireless Sensor Networks (WSNs) are important infrastructure for smart-city applications, such as environmental monitoring, public safety, and smart transportation. However, finding effective sensor locations is an NP-hard problem because a deployment must satisfy sensing coverage and communication connectivity while minimizing the number of sensors. Following the basic framework of a previous study, this study replaces the original optimization algorithm with the Amplitude-Ensemble Quantum-inspired Tabu Search (AEQTS) algorithm and retains the same entanglement-like initialization strategy, resulting in the proposed AEQTSwE (AEQTS with Entanglement) framework for the WSN deployment problem. AEQTSwE uses a quantum-inspired search mechanism and More >

Hanaa I. Mohammed¹, Eman M. Nasir^2,*, Iqbal S. Naji²

Chalcogenide Letters, Vol.23, No.6, 2026, DOI:10.32604/cl.2026.079657 - 02 July 2026

Abstract Thin films of Cu_xZn_1−xS nanocomposite with varying copper content (x = 0.3, 0.5, and 0.7) were successfully synthesized by the pulsed laser deposition (PLD) technique from their fabricated powders by the precipitation method for optoelectronic applications. The impact of Cu content on the film’s structural, morphological, optical, and electrical characteristics was investigated. Elemental composition analyses indicated that thin CZS films consisted only of their constituent elements and were free of any noted impurities. XRD patterns demonstrated that all as-grown thin films were polycrystalline in nature and adopted various planes and phases of CuS and ZnS binary… More >

Gen Li^1,2, Shuhan Liu², Junhao Cheng², Ting He², Zhihong Chen^1,*, Baoyang Lu^1,2,*

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.079972 - 30 June 2026

Abstract Hydrogel strain sensors are widely used in wearable electronics, human-machine interfaces, flexible electronics, owing to their ability to convert mechanical deformation into electrical signals. This function requires sensor materials to possess both high compliance and electrical conductivity. Poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) has emerged as an ideal candidate for hydrogel strain sensors due to its soft and flexible mechanical properties, tunable mechanical performance, mixed ionic-electronic conductivity, and excellent processability. Although extensive research has been conducted on PEDOT:PSS-based hydrogel strain sensors, there is currently no systematic review that elucidates the translation pathway from high-performance materials design and advanced fabrication More >

Joonhyeok Moon¹, Siheon Jeong¹, Byeonghyun Lee¹, Jeik Choi¹, Ki-Yong Oh^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.081475 - 30 June 2026

Abstract Maintaining overhead distribution facilities inherently involves high risks for operators, where ensuring worker safety and operational efficiency remains a paramount challenge. In particular, automating the positioning of aerial work platforms is crucial to mitigate electrocution hazards during live-line maintenance tasks. This paper proposes a novel autonomous framework for detecting jumper lines that could be employed to estimate the optimal bucket position in live-line maintenance of overhead distribution systems. The proposed framework comprises three core modules to form a unified pipeline for autonomous field inspection: a 4D multi-modal map, Sparse-dense fusion network (SDFNet), and Rotational multi-pyramid… More >

Sumit Sow^1,#, Alkajyoti Sharma^2,#, Mainak Ghosh^3,*, Nintu Mandal⁴, Sanjay Kumar², Shivani Ranjan^5,*, Souvik Sadhu⁶, Dibyajyoti Nath⁷, Harun Gitari⁸, Rakesh Panday⁹

Phyton-International Journal of Experimental Botany, Vol.95, No.6, 2026, DOI:10.32604/phyton.2026.081362 - 29 June 2026

Abstract Increasing population pressure and growing constraints on cultivable land and water resources necessitate improving resource use efficiency through the adoption of advanced and efficient agricultural technologies. With finite resources and a growing global population, agriculture has become increasingly essential as a source of food, fiber, and livestock. Due to their eco-friendly nature, the integration of crop improvement strategies with nanotechnology and plant biostimulants (PB) plays an important role in the development of smart and sustainable agriculture. Improved agricultural techniques have the potential to transform agricultural systems, and as a result, could be a viable option… More >

Bhanu Talwar^1,*, Puneet Thapar¹, Tahani Alsubait², Mai Alduailij³, Ateeq Ur Rehman^4,*, Salil Bharany⁵

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.080977 - 15 June 2026

Abstract Wireless Sensor Networks (WSNs) play a vital role in smart city Internet of Things (IoT) applications, including environmental monitoring, intelligent transportation, and infrastructure management. However, limited battery capacity, uneven energy consumption, and inefficient clustering and routing mechanisms significantly reduce network lifetime, reliability, and scalability, especially in large-scale IoT deployments. Traditional routing protocols often rely on single-objective optimization or static clustering strategies, which fail to maintain long-term energy balance and stable communication performance. To address these challenges, this paper proposes iPAFAR, a Pareto-based multi-objective clustering and routing framework designed for IoT-enabled WSNs. The proposed model formulates… More >

Isam Bahaa Aldallal¹, Saadaldeen Rashid Ahmed^2,3, Abdullahi Abdu Ibrahim¹, Oguz Bayat⁴, Abu Saleh Musa Miah⁵, Fahmid Al Farid^6,7,*, Md. Hezerul Abdul Karim^6,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.078742 - 15 June 2026

Abstract Urban parking problems worsen traffic jams, gas use, and pollution. Old parking systems often lack up-to-date space information, which annoys drivers and wastes their time. This research presents a smart IoT-enabled real-time space monitoring and booking system applicable to both urban parking management and Smart Manufacturing logistics environments, including loading bay coordination and Automated Guided Vehicle (AGV) docking station management. The system employs ultrasonic and IR sensors, managed by an Arduino UNO, to identify vehicles and track space availability. A servo-motor regulates entry. Slot data is presented on a Liquid Crystal Display screen and accessible More >

Miao Ye¹, Ziheng Wang¹, Qiuxiang Jiang¹, Xingsi Xue², Wenxi Liu³, Yu Ning¹, Cheng Zhu^1,4,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.078282 - 15 June 2026

Abstract In recent years, anomaly detection in Wireless Sensor Networks (WSNs) has been widely studied using Graph Neural Networks and Transformer-based methods. However, in multi-node and multi-modal data scenarios, these approaches still face challenges such as insufficient extraction of spatiotemporal correlation features, limited modeling capabilities when relying solely on either time-domain or frequency-domain information, and high computational overhead. To address these issues, this work aims to develop an anomaly detection model that balances detection performance with computational efficiency, enabling effective identification of complex anomaly patterns. Specifically, we propose a time–frequency feature extraction method with topological information… More >