Design and Optimization of an Integrated Visible Light Communication and Localization System Using Liquid Crystal Based-RIS Receivers by Raphael Ahiaklo-Kuz, Sylvester Aboagye, Omar Maraqa, Telex M. N. Ngatched

Get full text

Quantum-Enhanced Predictive Degradation Pathway Optimization for PV Storage Systems: A Hybrid Quantum–Classical Approach for Maximizing Longevity and Efficiency by Dawei Wang, Shuang Zeng, Liyong Wang, Baoqun Zhang, Cheng Gong, Zhengguo Piao, Fuming Zheng

“…Unlike conventional optimization methods, which struggle with the complexity and stochastic nature of degradation mechanisms, the proposed approach capitalizes on quantum parallelism to assess multiple degradation scenarios simultaneously, significantly enhancing computational efficiency. …”
Get full text

STANDARDIZATION OF UNCERTAINTY SITUATIONS IN TRAINING MODULES by Sergey A. Safontsev, Natalya Yu. Safontseva

“…Validity of the degree of interest of the learning process, reliability of coincidences constructive reflection of students’ own achievements with independent project performance and efficiency as the ratio of the result obtained to the costs of implementing the target function of the educational system have been determined consistently in the framework of the implementation of standardization situations of uncertainty. …”
Get full text

PdYOLO: A Lightweight Algorithm for Detecting Peach Fruits Against a Peach Tree Background by Jiajun Zhang, Jialin Zhang, Kazuki Kobayashi

“…Finally, a new head layer P2-SLD was designed, which replaced the original detection head with a shared lightweight detection head SLD, introduced the P2 layer and removed the P5 layer, which improved the lightweight level of the model, improved the processing efficiency and reduced the energy consumption while ensuring the detection accuracy. …”
Get full text

Ecological optimisation of vegetable production as a factor of the industry capitalisation by Roman Lohosha, Svitlana Lutkovska, Oksana Pidvalna, Lyudmila Pronko, Tetiana Kolesnyk

“…On this basis, a complex – ecological and economic – criterion of production efficiency was proposed, as well as possible ways to solve the problem of environmental risks through the formation of a special type of management. …”
Get full text

RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5 by Pan Li, Jitao Zhou, Huihui Sun, Jian Zeng

“…Rice leaf diseases critically threaten global rice production by reducing crop yield and quality. Efficient disease detection in complex field environments remains a persistent challenge for sustainable agriculture. …”
Get full text

HGCS-Det: A Deep Learning-Based Solution for Localizing and Recognizing Household Garbage in Complex Scenarios by Houkui Zhou, Chang Chen, Zhongyi Xia, Qifeng Ding, Qinqin Liao, Qun Wang, Huimin Yu, Haoji Hu, Guangqun Zhang, Junguo Hu, Tao He

“…However, due to the interference of complex environments, coupled with the influence of the irregular features of garbage, garbage detection in complex scenarios still faces significant challenges. …”
Get full text

BEATS: Practical Audit Trail in Blockchain Systems by Bilal Alagha, Ilker Ozcelik

“…Results demonstrate that the RSA-based Cryptographic Accumulator significantly improves verification efficiency, achieving O(1) time and space complexity. …”
Get full text

Efficient Design of a Terahertz Metamaterial Dual-Band Absorber Using Multi-Objective Firefly Algorithm Based on a Multi-Cooperative Strategy by Guilin Li, Yan Huang, Yurong Wang, Weiwei Qu, Hu Deng, Liping Shang

“…Terahertz metamaterial dual-band absorbers are used for multi-target detection and high-sensitivity sensing in complex environments by enhancing information that reflects differences in the measured substances. …”
Get full text

ScaleViM-PDD: Multi-Scale EfficientViM with Physical Decoupling and Dual-Domain Fusion for Remote Sensing Image Dehazing by Hao Zhou, Yalun Wang, Wanting Peng, Xin Guan, Tao Tao

“…Remote sensing images are often degraded by atmospheric haze, which not only reduces image quality but also complicates information extraction, particularly in high-level visual analysis tasks such as object detection and scene classification. State-space models (SSMs) have recently emerged as a powerful paradigm for vision tasks, showing great promise due to their computational efficiency and robust capacity to model global dependencies. …”
Get full text

Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning by Amin Abdollahi Dehkordi, Mehdi Neshat, Alireza Khosravian, Menasha Thilakaratne, Ali Safaa Sadiq, Seyedali Mirjalili

“…NLCMFO integrates the Lévy flight, chaotic parameters, and nonlinear control mechanisms to enhance the exploration capabilities of the Moth Flame Optimiser during the search phase while also leveraging the Lévy flight theorem to improve the exploitation phase. To assess the efficiency of the proposed model, empirical analyses were performed using a dataset of 2314 brain tumour detection images (1245 images of brain tumours and 1069 normal brain images). …”
Get full text

Signal Detection for Enhanced Spatial Modulation-Based Communication: A Block Deep Neural Network Approach by Shaopeng Jin, Yuyang Peng, Fawaz AL-Hazemi, Mohammad Meraj Mirza

“…In ESM, traditional signal detection methods such as maximum likelihood (ML) have the drawback of high complexity. …”
Get full text

Simple Single-Person Fall Detection Model Using 3D Pose Estimation Mechanisms by Jinmo Yang, R. Young Chul Kim

“…Therefore, we propose the simple fall detection model (SFDM) that is computationally efficient with moderate accuracy. …”
Get full text

Improving Safety, Efficiency, Cost, and Satisfaction Across a Musculoskeletal Pathway Using the Digital Assessment Routing Tool for Triage: Quality Improvement Study by Cabella Lowe, Laura Atherton, Peter Lloyd, Anna Waters, Dylan Morrissey

“…ObjectiveWe evaluated the impact of introducing a digital assessment routing tool (DART) on safety, efficiency, cost, and satisfaction across a National Health Service (NHS) England MSK service. …”
Get full text

A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO by Hamid Amiriara, Mohammadreza Zahabi

“…As a result, the proposed detector is very efficient for use in massive MIMO systems.…”
Get full text

A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network by Shaobin Cai, Han Xu, Wanchen Cai, Yuchang Mo, Liansuo Wei

“…Abstract Deep neural networks are used to accurately detect, estimate, and predict human body poses in images or videos through deep learning-based human pose estimation. …”
Get full text

SIC based RL for massive MIMO NOMA signal detection for different modulation schemes under diverse channel conditions by Arun Kumar, Aziz Nanthaamornphong, Mohammed H. Alsharif, Mehedi Masud

“…Abstract Massive-multiple input and Multiple Outputs Non orthogonal multiple access (M-MIMO–NOMA) systems require efficient signal detection techniques to mitigate interference and enhance spectral efficiency, especially under diverse channel conditions and varying modulation schemes. …”
Get full text

YOLOv8-Scm: an improved model for citrus fruit sunburn identification and classification in complex natural scenes by Guoxun Cong, Guoxun Cong, Xinghong Chen, Xinghong Chen, Zongyu Bing, Zongyu Bing, Wenhuan Liu, Wenhuan Liu, Xiangling Chen, Qun Wu, Zheng Guo, Zheng Guo, Yongqiang Zheng, Yongqiang Zheng

“…Three key enhancements are introduced: (1) DSConv module replaces the standard convolution for a more efficient and lightweight design, (2) Global Attention Mechanism (GAM) improves feature extraction for multi-scale and occluded targets, and (3) EIoU loss function enhances detection precision and generalization. …”
Get full text

Reduced Complexity Initial Synchronization for 5G NR Multibeam LEO-Based Non-Terrestrial Networks by Ashish Kumar Meshram, Sumit Kumar, Jorge Querol, Stefano Andrenacci, Symeon Chatzinotas

Get full text

Reflections and trajectories for interdisciplinary research on the energy transition by Cesare Sposito, Francesca Scalisi

Get full text