Takagi–Sugeno–Kang Fuzzy Neural Network for Nonlinear Chaotic Systems and Its Utilization in Secure Medical Image Encryption by Duc Hung Pham, Mai The Vu

“…The proposed controller demonstrates high robustness, making it an excellent candidate for handling intricate nonlinear dynamics, effectively mapping input–output relationships and efficiently learning from data. …”
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Deep Communication: Exploring End-to-End Wireless with Convolutional Neural Network by Sumaira Mushtaq, Bahman R Alyaeia, Momna Sultan, Janshair Khan

“…Our proposed method leverages the strengths of CNNs in learning and extracting features from raw data and applies them to wireless communication. …”
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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

“…Abstract Accurate prediction of solar irradiance is vital for optimizing the energy output and operational efficiency of grid-connected photovoltaic (PV) systems, especially under fluctuating environmental conditions. …”
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Planning of Distributed Energy Storage in Distribution Networks Considering Operational Efficacy Under Typhoon Weather by YIN Jianbing, HUO Jiali, YU Dan, CHEN Lin, SONG Kexuan, LI Zhiyi

“…In this paper, a distributed energy storage planning method considering the operation efficiency of distribution network in conventional and typhoon scenarios is proposed.Firstly, a large number of typhoon scenes are randomly generated, and t-SNE algorithm is used for dimension reduction and clustering. …”
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Pauli path simulations of noisy quantum circuits beyond average case by Guillermo González-García, J. Ignacio Cirac, Rahul Trivedi

“…For random quantum circuits on $n$ qubits of depth $\Theta(\log n)$ with depolarizing noise, the task of sampling from the output state can be efficiently performed classically using a Pauli path method \cite{Aharonov2023_paulipaths} . …”
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Fast and Robust Image Encryption Scheme Based on Quantum Logistic Map and Hyperchaotic System by Nehal Abd El-Salam Mohamed, Aliaa Youssif, Hala Abdel-Galil El-Sayed

“…Moreover, the encryption time of the proposed method is satisfactory, and the method can be efficiently used in practice for the secure transmission of image information.…”
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Enhanced Semantic Retrieval with Structured Prompt and Dimensionality Reduction for Big Data by Donghyeon Kim, Minki Park, Jungsun Lee, Inho Lee, Jeonghyeon Jin, Yunsick Sung

“…In the experiments, the proposed method was compared with structured-format RAG. After generating prompts utilizing two methods, silhouette scores were computed to assess the quality of embedding clusters. …”
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Secure Indoor Water Level Monitoring with Temporal Super-Resolution and Enhanced Yolov5 by Sui Guo, Jiazhi Huang, Yuming Yan, Peng Zhang, Benhong Wang, Houming Shen, Zhe Yuan

“…Ensuring secure and efficient water level monitoring is critical for the intelligent management of hydropower plants, especially in challenging indoor environments. …”
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Optimized Image Dehazing Using Dark Channel Prior With Minimum Fusion and Improved Atmospheric Light Handling by Ahmad Hussain, Mansoor Iqbal, Sheraz Aslam, Saad Alahmari, Abdulwahab Alkharashi

“…The proposed method is evaluated on the SOTS Outdoor dataset from the RESIDE benchmark, comprising 500 pairs of real-world hazy and clear images. …”
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Influence of trapezoidal tube parameters on electrical and thermal performance of hybrid photovoltaic solar panels integrated with phase change materials by Mohamed A. Alnakeeb, Mohamed A. Abdel Salam, Mohamed A. Hassab, Wael M. El-Maghlany

“…The numerical analysis investigates the performance characteristics of the photovoltaic thermal technology combined with phase change material system across various aspect ratios (0.25, 0.5, 1, 1.5, and 2) and heights (3, 6, and 9 mm), marking a novel exploration into optimizing these parameters for enhanced energy efficiency. The phase change material melting is simulated by employing the enthalpy-porosity method. …”
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Research on Submarine Cable Buried Depth Monitoring Technology based on Brillouin Effect by WU Kun, WU Mingnian, CHEN Qingqing, WU Zhengming, XIE Shuhong, WANG Daogen, LI Songlin

“…This study aims to develop a submarine cable burial depth analysis and calculation method using Brillouin Optical Time Domain Analysis (BOTDA) to enable efficient and convenient monitoring of burial depth.…”
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Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer by Muhammed Abdulhamid Karabiyik, Bahaeddin Turkoglu, Tunc Asuroglu

“…Effectively adjusting these parameters is essential to minimize the error between predicted and actual outputs. While traditional training algorithms, such as gradient-based methods, have been widely used, they often face challenges like premature convergence and stagnation in local optima. …”
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Brain Tumour Segmentation Using Choquet Integrals and Coalition Game by Makhlouf Derdour, Mohammed El Bachir Yahiaoui, Moustafa Sadek Kahil, Mohamed Gasmi, Mohamed Chahine Ghanem

“…These technologies enable efficient solutions for complex challenges, such as accurately segmenting brain tumour regions, which significantly aid medical professionals in monitoring and treating patients. …”
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SMANet: A Model Combining SincNet, Multi-Branch Spatial—Temporal CNN, and Attention Mechanism for Motor Imagery BCI by Danjie Wang, Qingguo Wei

“…Firstly, Sinc convolution is utilized as a band-pass filter bank for data filtering; Second, pointwise convolution facilitates the effective integration of feature information across different frequency ranges, thereby enhancing the overall feature expression capability; Next, the resulting data are fed into the MBSTCNN to learn a deep feature representation. Thereafter, the outputs of the MBSTCNN are concatenated and then passed through an efficient channel attention (ECA) module to enhance local channel feature extraction and calibrate feature mapping. …”
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Latent spectral-spatial diffusion model for single hyperspectral super-resolution by Yingsong Cheng, Yong Ma, Fan Fan, Jiayi Ma, Yuan Yao, Xiaoguang Mei

“…In recent years, significant advances have been achieved in addressing super-resolution (SR) tasks for hyperspectral images, primarily through deep learning-based methodologies. Nevertheless, methods oriented toward optimizing peak signal-to-noise ratio (PSNR) often tend to drive the SR image to an average of several possible SR predictions, resulting in visually over-smoothed outputs. …”
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On the effectiveness of neural operators at zero-shot weather downscaling by Saumya Sinha, Brandon Benton, Patrick Emami

“…Machine-learning (ML) methods have shown great potential for weather downscaling. …”
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Modeling and Validation of the Sealing Performance of High-Pressure Vane Rotary Actuator by Yi Wu, Junjie Zhou, Wenjie Ma, Wenbo Liao

“…The analysis results indicate that when estimating the internal leakage of a vane rotary actuator, it is necessary to take the pressure of the high-pressure chamber and output shaft position as inputs. This research provides a reference for an analysis of the method of internal leakage for vane rotary actuators. …”
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Research on Sensorless Control Strategy of High-Speed Submersible Permanent Magnet Synchronous Motor by Liang Xiong, Xiaolian Zhang, Lieyu Tian, Yang Lv, Jinsong Lu, Ailiyaer Ahemaiti, Qi Shi, Junguo Cui

“…Therefore, a three-order adaptive nonlinear extended state observer is proposed to collect the input and output information of the system in real time, and estimate the motor speed, position, and total disturbance. …”
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Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization by Seoyoon Kwon, Minsoo Ji, Min Kim, Juliana Y. Leung, Baehyun Min

“…These findings underscore the M-CNN’s effectiveness in sequential well placement optimization, striking an optimal balance between predictive accuracy and computational efficiency. The method’s ability to dramatically reduce processing time while maintaining high accuracy makes it a valuable tool for enhancing oil field productivity and streamlining reservoir management decisions.…”
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DAB unified ZVS control strategy with optimal current stress in full power range under TPS control by Shuai Cheng, Fusheng Wang, Zongfeng Han, Chuanqi Zhang

“…Based on three‐phase shift control, Karush–Kuhn–Tucker (KKT) algorithm is used to solve the optimal control strategy of current stress under soft switching conditions, and the interval construction method that KKT cannot solve is given. Aiming at the problem that all or most of the switching devices lose the zero voltage switching (ZVS) soft switching characteristics when the current dual active bridge (DAB) modulation strategy is seriously mismatched in voltage gain or when the output power is relatively small, an optimized modulation strategy is proposed here, which not only realizes the minimum current stress within the full power range, but also ensures that at least six switching tubes can achieve ZVS on–off. …”
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