NeuroScale: evolutional scale-based protein language models enable prediction of neuropeptides by Hongqi Zhang, Shanghua Liu, Wei Su, Xueqin Xie, Junwen Yu, Fuying Dao, Mi Yang, Hao Lyu, Hao Lin

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YOLO-LSD: A Lightweight Object Detection Model for Small Targets at Long Distances to Secure Pedestrian Safety by Ming-An Chung, Sung-Yun Chai, Ming-Chun Hsieh, Chia-Wei Lin, Kai-Xiang Chen, Shang-Jui Huang, Jun-Hao Zhang

“…The proposed model integrates the C3C2 and the new Efficient Layer Aggregation Network - Convolutional Block Attention Module(ELAN-CBAM) modules to improve the efficiency of feature extraction while reducing computational overhead. …”
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Enhanced Multigrained Scanning-Based Deep Stacking Network for Intrusion Detection in IoMT Networks by Pakarat Musikawan, Yanika Kongsorot, Phet Aimtongkham, Chakchai So-In

“…Drawing inspiration from the accomplishments of deep learning in cyber threat detection, we propose a multigrained scanning-based deep stacking network (MGDSN) to defend against sophisticated cyberattacks on Internet of Medical Things (IoMT) networks. …”
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Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks by William Villegas-Ch, Jaime Govea, Alexandra Maldonado Navarro, Pablo Palacios Jativa

“…The proposed method was evaluated using a customized dataset from a simulated IoT network to reflect real-world attack scenarios, including Denial of Service, Spoofing, and Man-in-the-Middle. …”
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Evolution characteristics of microstructure during continuous drawing deformation of Cu-20Ag alloy by Hanjiang Wu, Tao Huang, Kexing Song, Yanjun Zhou, Shaolin Li, Yanmin Zhang, Xiaowen Peng, Yunxiao Hua

“…The results show that the as-cast Cu-20Ag alloy rod exhibits a continuous eutectic network structure. As the wire diameter decreases, this network-like grain structure gradually transforms into fibrous grains. …”
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Policy Evolution of Government Procurement of Public Services in China: A Text-Mining Perspective by Dongdan Zhu, Yuting Zhang, Zhengnan Lu

“…Results show that the development of the GPPS policy in China presents a point-to-face change feature, manifested in the evolution logic of “government purchase—government procurement of public service—all-round supporting policy.” …”
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Stability indicators in network reconstruction. by Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello

“…However, evaluating their performance is unfeasible unless a 'gold standard' is available to measure how close the reconstructed network is to the ground truth. …”
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Insights into the evolution and regulation of miRNAs from the view of their DNA replication temporal domains by Xudong Wu, Tingting Liu

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Two major ecological shifts shaped 60 million years of ungulate faunal evolution by Fernando Blanco, Ignacio A. Lazagabaster, Óscar Sanisidro, Faysal Bibi, Nicola S. Heckeberg, María Ríos, Bastien Mennecart, María Teresa Alberdi, Jose Luis Prado, Juha Saarinen, Daniele Silvestro, Johannes Müller, Joaquín Calatayud, Juan L. Cantalapiedra

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WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks by Jose Perdomo, M. A. Gutierrez-Estevez, Chan Zhou, Jose F. Monserrat

“…Model parameters associated to the same underlying wireless phenomena are shared across network nodes. Results using system-level simulations to train and evaluate our proposal, show that WirelessNet efficiently outputs accurate downlink rates and vector representations of users, even for network deployments unseen during training, with significantly less computational runtime than a cellular network simulator and more accuracy than typical neural network architectures. …”
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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

“…The proposed framework integrates Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and attention mechanisms for robust feature extraction and classification. …”
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LANet for medical image segmentation by Di Zhao, Yi Tang, D. Y. Pertsau, A. B. Gourinovitch, D. V. Kupryianava

“…The paper presents an original LANet model for improving medical image segmentation results based on MobileViT neural network. The developed and integrated Efficient Fusion Attention and Adaptive Feature Fusion blocks improve the quality of feature extraction and reduce data redundancy. …”
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Transformer network enhanced by dual convolutional neural network and cross-attention for wheelset bearing fault diagnosis by Jing Zhao, Jing Zhao, Junfeng Li, Ziteng Li, Zengqiang Ma, Zengqiang Ma

“…However, current deep neural networks suffer from design flaws, including low accuracy, high computational complexity, limitations in frequency-domain analysis, and inefficient long time-series feature encoding. …”
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Random forest–based feature selection and detection method for drunk driving recognition by ZhenLong Li, HaoXin Wang, YaoWei Zhang, XiaoHua Zhao

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Improving Recommender Systems for Fake News Detection in Social Networks with Knowledge Graphs and Graph Attention Networks by Aleksei Golovin, Nataly Zhukova, Radhakrishnan Delhibabu, Alexey Subbotin

“…This paper addresses the pervasive problem of fake news propagation in social networks. Traditional text-based detection models often suffer from performance degradation over time due to their reliance on evolving textual features. …”
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A recurrent multimodal sparse transformer framework for gastrointestinal disease classification by V. Sharmila, S. Geetha

“…The approach integrates clinical text and WCE images using a robust multi-modal fusion strategy that incorporates Bio-RoBERTa for textual feature extraction, a graph vision spatial channel attention transformer network for image feature learning, and cross-attention mechanisms for modality alignment. …”
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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…Secondly, a hold-out search strategy was employed to identify the optimal features or feature combinations for both BiGRU and CNN. …”
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An automatic acne detection, severity, and assessment framework using generative adversarial network with deep neural network by Umara Khalid, Li Chen, Abdullah Ayub Khan, Faisal Mehmood

“…Abstract With the robust development of artificial intelligence (AI), especially image processing has made information technology more efficient and effective in the sense to evaluate facial features, even though there has been masked on the face. …”
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Infrared dim tiny-sized target detection based on feature fusion by Peng Zhang, Yaman Jing, Guodong Liu, Ziyang Chen, Xiaoyan Wu, Osami Sasaki, Jixiong Pu

“…The quantitative evaluation metrics, including IOUs and F1 scores, validate the outperformance of the proposed network. …”
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Associating walkability features with pedestrian activity in a central Athens neighborhood. by Yannis PARASKEVOPOULOS, Stefanos TSIGDINOS, Maria ANDRAKAKOU ANDRAKAKOU

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