Modeling Spatial and Temporal Changes in Land-Uses and Land Cover of the Urmia Lake Basin Applying Cellular Automata and Markov Chain by Hadi Eskandari Damaneh, Hamid Gholami, Hassan Khosravi, Rasoul Mahdavi Najafabadi, Asadollah Khoorani, Gimmy Li

“…Extended Abstract 1-Introduction Land use and land cover change (LULCC) has turned into a global issue that has aroused a grave concern of governments and natural resources officials. …”
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Preventing Degradation of the Quality of Visual Information in Digital Signage and Image-Sensor-Based Visible Light Communication Systems by Hiraku Okada, Sho Sato, Tadahiro Wada, Kentaro Kobayashi, Masaaki Katayama

“…In this paper, we propose an image-sensor-based visible light communication (IS-VLC) system that provides visual information in digital signage used for advertisements. One important issue of IS-VLC systems is the deterioration of visual information while transmitting the data information. …”
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Phase Noise Suppression Algorithm Based on Modified LLR Metric in SC-FDMA System by Zijie Xu, Guangliang Ren

“…In single-carrier frequency-division multiple-access (SC-FDMA) receivers in the long-term evolution uplink, phase noise is one of the major radio-frequency front-end impairments that degrade system performance. To address this issue, we propose a new log-likelihood ratio (LLR) computation algorithm. …”
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A Biphase Code Sidelobe Suppression Method Based on the CLEAN Algorithm by Yiding Liang, Liyu Tian

“…This loss leads to a reduction in the peak energy of pulse compression and diminishes the mainlobe-to-sidelobe ratio. To address this issue, this paper proposes a sidelobe suppression method based on the CLEAN algorithm. …”
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Gut microbiota-mitochondrial crosstalk in obesity: novel mechanistic insights and therapeutic strategies with traditional Chinese medicine by Lingmiao Wen, Kun Yang, Jiexin Wang, Hang Zhou, Weijun Ding

“…Obesity rates are rising globally and have become a major public health issue. Recent research emphasizes the bidirectional communication between gut microbiota and mitochondrial function in obesity development. …”
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rbpTransformer: A novel deep learning model for prediction of piRNA and mRNA bindings. by Ahmet Gürhanlı

“…An important issue in biotechnology is predicting whether a piRNA and an mRNA will or will not bind. …”
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YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing by Jinfeng Zhao, Zeyu Hou, Qin Wang, Sheng Dai, Kaicheng Yong, Xuan Wang, Jiawen Yang, Qianlong Nie, Yan Ma, Xuehui Huang

“…Moreover, the YOLOv8 architecture was adjusted by modifying certain convolutional layers and the Context to Fusion module to enhance the detection capabilities for smaller targets. …”
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Inherent-attribute-aware dual-graph autoencoder for rating prediction by Yangtao Zhou, Qingshan Li, Hua Chu, Jianan Li, Lejia Yang, Biaobiao Wei, Luqiao Wang, Wanqiang Yang

“…However, existing methods still have two significant limitations: i) External attributes are often unavailable in the real world due to privacy issues, leading to low quality of representations; and ii) existing methods lack considering complex associations in users' rating behaviors during the encoding process. …”
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Multi‑feature geological hazard susceptibility assessment by integrating improved ResNet and transfer learning: A case study of the Loess Plateau in Northern Shaanxi by Hao Cheng, Chong Xu, Rong Guo, Hai-kun Jing, Zeng-lin Hong, Feng-chen Fu, Ruo-shu Li

“…This study addressed the issues of insufficient feature utilization, poor spatial coherence, and weak generalization in conventional models for Geological hazard susceptibility assessment (GHSA) on the Loess Plateau in Northern Shaanxi. …”
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TripletA-Net: A Deep Learning Model for Automatic Railway Track Extraction from Airborne LiDAR Point Clouds by Runyuan Zhang, Qiong Ding, Alex Hay-Man Ng, Dan Wang, Jiwei Deng, Mingwei Xu, Yuelin Hou

“…Ablation experiments validate the importance of the weight-scaling module and the AdamW optimizer in improving the model's accuracy. …”
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Exploring the potential benefits of areca nut extract in animal production: a review by Zhuying Liu, Zhuying Liu, Xiaolong Wang, Lixin Wen, Lixin Wen

“…Globally, the issue of antibiotic residues in agricultural products and their environments is increasingly critical, with the spread of microbial resistance becoming an urgent international challenge. …”
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YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images by Ke Zhang, Ningxuan Zhang, Chaojun Shi, Qiaochu Lu, Xian Zheng, Yujie Cao, Xiaoyun Zhang, Jiyuan Yang

“…Secondly, a Diverse Branch Block (DBB) is embedded in the feature extraction–fusion module, which enriches the feature space by enhancing the representation capability of single-convolution operations, thereby improving model feature extraction performance without increasing inference time costs. …”
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A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping by Lu Chen, Amir Hussain, Yu Liu, Jie Tan, Yang Li, Yuhao Yang, Haoyuan Ma, Shenbing Fu, Gun Li

“…We propose a nonlinear optimization approach to overcome these issues to develop an integrated localization and navigation framework, IIVL-LM (IMU, Infrared, Vision, and LiDAR Fusion for Localization and Mapping). …”
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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

“…This work introduces a novel hybrid deep learning method combining CNN, GRU, and a Dynamic Cross-Modality Attention Module to help more efficiently blend spatial and temporal brain data. …”
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Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection by Chenbo Shi, Yuejia Li, Xin Jiang, Wenxin Sun, Changsheng Zhu, Yuanzheng Mo, Shaojia Yan, Chun Zhang

“…Leveraging edge features and spatial continuity of cracks, we incorporate an edge feature infusion module in the encoder and design a multi-scale feature aggregation strategy in the decoder to enhance the extraction of both local details and global semantic information. …”
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Reusable Component Model Development Approach for Parallel and Distributed Simulation by Feng Zhu, Yiping Yao, Huilong Chen, Feng Yao

“…Model reuse is a key issue to be resolved in parallel and distributed simulation at present. …”
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DCP-YOLOv7x: improved pest detection method for low-quality cotton image by Yukun Ma, Yajun Wei, Minsheng Ma, Zhilong Ning, Minghui Qiao, Uchechukwu Awada

“…Next, the DAttention (Deformable Attention) mechanism is introduced into the SPPCSPC module of the YOLOv7x network to dynamically adjust the computation area of attention and enhance the feature extraction capability. …”
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PROPOSTE DIDATTICHE PER L’ITALIANO L2 A GIOVANI STUDENTI DI UN CORSO SERALE: IL CONTRIBUTO DELLA LETTERATURA TRANSCULTURALE ITALOFONA ALLA RIFLESSIONE SUL PLURILINGUISMO by Laura Campanale

“…Specifically, a module of the above-mentioned course was dedicated to the analysis of two autobiographical novels of Italian speaking transcultural literature: My house is where I am (2012) by IgiabaScego and The language of Ana. …”
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Dark-field super-oscillatory microscopy with high-pass super-oscillatory filters by Yujie Shen, Wenyan Ou, Ye Zhang

“…In this work, high-pass super-oscillatory masks are designed to address this issue by filtering out the background light on the Fourier plane. …”
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Throughput and delay analysis for IEEE 802.11 multi-hop networks considering data rate by Takeshi Kanematsu, Kosuke Sanada, Zhetao Li, Tingrui Pei, Young-June Choi, Kien Nguyen, Hiroo Sekiya

“…This article addresses that issue aiming to quantify the network performance of the multi-hop IEEE 802.11 networks. …”
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