MLKGC: Large Language Models for Knowledge Graph Completion Under Multimodal Augmentation by Pengfei Yue, Hailiang Tang, Wanyu Li, Wenxiao Zhang, Bingjie Yan

“…Although existing methods have alleviated these issues to some extent, they often rely heavily on extensive training and fine-tuning, which results in low efficiency. …”
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Improved Face Image Super-Resolution Model Based on Generative Adversarial Network by Qingyu Liu, Yeguo Sun, Lei Chen, Lei Liu

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Enhanced rain removal network with convolutional block attention module (CBAM): a novel approach to image de-raining by Ping Jiang, Junzi Zhang, Jiejie Chen

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GANFlow: A Hybrid Model for SAR Image Target Open-Set Recognition Based on GAN and the Flow-Based Module by Jikai Qin, Jiusheng Han, Zheng Liu, Lei Ran, Rong Xie, Tat-Soon Yeo

“…However, in practical applications, ATR models are often exposed to open environments, the general closed-set method may misclassify unknown categories as known categories, which is not reasonable. To tackle this issue, this article proposes an end-to-end hybrid model for SAR image open-set recognition (OSR), named GANFlow, which combines a generative adversarial network (GAN) with a flow-based module. …”
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Leveraging IoT and CFD to optimize solar PV module performance in high-temperature environments; case study: Kirkuk, Iraq by Yaareb Elias Ahmed, Jagadeesh Pasupuleti, Firas Basim Ismail, Suad Hassan Danook, Fadhil Khadoum alhousni, Mohammad Reza Maghami

“…Cooling systems can mitigate this issue by maintaining optimal operating temperatures, thereby improving system performance and lifespan. …”
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NIR-RGB-M²Net: A Fusion Model for Precise Agricultural Field Segmentation Using Multisource Remote Sensing Data by Zhankui Tang, Xin Pan, Xiangfei She, Jian Zhao

“…The primary innovations of NIR-RGB-M²Net are as follows: A U–Net–based fusion model that integrates a convolutional block attention module in the NIR branch to highlight vegetation-related channels and spatial regions, and a dilated convolution module in the RGB branch to expand the receptive field without sacrificing resolution, capturing fine boundary textures. …”
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Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code by Yuting Ren, Zhiyu Shao, Qi Zhang, Wang Feng, Lei Xu, Huafeng Gong, Scott Yost, Lei Chen, Hongxiang Chai

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A Decoupling Module Based on a Geometrical-Balance Mechanism for Mitigating Cable Length Variation in Cable-Driven Applications by Van Pho Nguyen, Sunil Bohra Dhyan, Wai Tuck Chow

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Impact of close proximity pulse width modulation switching events on electric machine terminal voltages by David A. Hewitt, Shubham Sundeep, Antonio Griffo, Jiabin Wang

“…When speed control is required, the use of pulse width modulation‐based inverters is generally the solution of choice. …”
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Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state by JI Shuo, SUN Yaohua, PENG Mugen

“…In the scenario of direct mobile phone connection to low-earth orbit satellites, to address the issue of non-real-time feedback of channel quality indication information that adaptive modulation and coding techniques rely on, a channel state prediction model based on deep echo state network was proposed. …”
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Meloside A Protects Dermal Papilla Cells from DHT-Induced Damage via Androgen Receptor Modulation by Hyun Jun Park, Bong Geun Song, Ji Hoon Song, Seung Hee Park, Da Hye Wang, Ho Kyun Kwon, Ji-Ean Lee

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Integer-Linear-Programing Optimization in Scalable Video Multicast with Adaptive Modulation and Coding in Wireless Networks by Dongyul Lee, Chaewoo Lee

“…Scalable video coding (SVC) with adaptive modulation and coding (AMC) provides an excellent solution for wireless video streaming. …”
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Theoretical Study on Low-Chirp Directly Modulated DFB Lasers with (110)-Oriented Quantum Well by Jianwei Li, Mengzhu Hu, Xinyang Su, Yanting Liu, Ke Zhan

“…In this article, we address this issue by theoretically investigating the possibility of further a reduction in the linewidth enhancement factor (LEF) of a quantum well (QW). …”
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Deep photonic reservoir computer for nonlinear equalization of 16-level quadrature amplitude modulation signals by Rui-Qian Li, Yi-Wei Shen, Zekun Niu, Guozhi Xu, Jingyi Yu, Xuming He, Lilin Yi, Cheng Wang

“…PRC is a promising tool to deal with the crucial issue of nonlinear equalization in optical fiber communications. …”
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PSMA2 promotes chemo- and radioresistance of oral squamous cell carcinoma by modulating mitophagy pathway by Chun-I Wang, Cheng-Yi Chen, Ting-Wen Chen, Chun-Chia Cheng, Shu-Wen Hong, Tsung-You Tsai, Kai-Ping Chang

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Pressure-Dependent Thermal Network Model for Press-Pack Power Modules with Prognostics of Mechanical Status by Yao Chang, Yu Zhou, Ankang Zhu, Haoze Luo, Wuhua Li, Chushan Li, Francesco Iannuzzo, Xiangning He

“…The press-pack power module with multi-chip layout has drawn increasing attention from industry and academia with its thermal analysis becoming an essential issue. …”
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A Novel Training Strategy for Deep Learning Model Compression Applied to Automatic Modulation Classification by Mateus A. Goldbarg, Micael Balza, Sergio N. Silva, Lucileide M. D. Silva, Marcelo A. C. Fernandes

“…Deep learning techniques, such as deep neural networks (DNNs), have proven highly effective in addressing various automatic modulation classification challenges. However, their computational demands pose a significant hurdle for real-time modulation detection. …”
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VCSEL chip structure and packaging optimization design for high-power VCSEL light source modules by Ching Lin Li, Wei Lai, Chi Wu Ke, Yuan Heng Cheng, Tzu Chieh Hsu, Chun Yi Lee, Chun Jung Chiu, Yen Heng Huang, Zhi Ting Ye

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Implementation of Method of Minimizing the Side Lobe Level of Autocorrelation Functions of Signals With Nonlinear Frequency Modulation by O. O. Kostyria, A. A. Hryzo, I. A. Khizhnyak, A. V. Fedorov, A. A. Lukianchykov

“…Finding parameters that minimize the side lobes level of the autocorrelation function of nonlinear frequency modulated signals, which include fragments with linear frequency modulation, is an important scientific and technical problem, the solution of which is the subject of this article. …”
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The Use of Renewable Energy Sources in the Food Industry and the Reduction of CO₂ Emissions: A Case Study of a Simulated PV Installation by Patrycja Walichnowska, Marcin Zawada, Adam Idzikowski

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