Semantic Image Synthesis via Class-Adaptive Cross-Attention by Tomaso Fontanini, Claudio Ferrari, Giuseppe Lisanti, Massimo Bertozzi, Andrea Prati

“…Our model inherits the versatility of SPADE, at the same time obtaining state-of-the-art generation quality improving FID score by 5.6%, 1.4% and 3.4% on CelebMask-HQ, Ade20k and DeepFashion datasets respectively, as well as improved global and local style transfer. …”
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UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data by Shiyang Zhou, Qingyong Zhang, Peng Xiao, Bingrong Xu, Geshuai Luo

“…Experiments conducted on three load datasets from Australia, Panama and Austria show that UniLF achieves superior forecasting accuracy with competitive practical efficiency under different prediction lengths, providing a new solution for STLF.…”
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Person Re-Identification Using Additive Distance Constraint With Similar Labels Loss by Guofa Li, Lisha Huang, Liangwen Tang, Chunli Han, Yaoyu Chen, Heng Xie, Shen Li, Gang Xu

“…Experimental evaluations were conducted on two popular datasets (Market-1501 and DukeMTMC-reID) to examine the effectiveness of our proposed method. …”
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Dual-Granularity Feature Alignment for Change Detection in Remote Sensing Images by Feng Zhou, Xinyu Zhang, Hui Shuai, Renlong Hang, Shanshan Zhu, Tianyu Geng

“…Experimental results demonstrate that DgFA outperforms several state-of-the-art methods on three public benchmark datasets, including LEVIR-CD, CDD, and SYSU-CD.…”
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A Few-Shot Knowledge Graph Completion Model With Neighbor Filter and Affine Attention by Hongfang Gong, Yingjing Ding, Minyi Ma

“…Evaluations are performed using two publicly available benchmark datasets: NELL-one and Wiki-one. Experimental results validate the superiority of the NFAA model relative to several state-of-the-art approaches.…”
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Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer by Shengli SHAO, Jiheng WANG, Shanting LIU

“…With the establishment and sharing of large datasets, automated annotation, algorithm optimization, and resolution of data security issues, deep learning is expected to accurately predict lateral neck lymph node metastasis in PTC. …”
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An Interactive Computational Pipeline to Investigate Ventricular Hemodynamics with Real‐Time Three‐Dimensional Echocardiography and Computational Fluid Dynamics by Jan‐Niklas Thiel, Daniel Verhülsdonk, Ulrich Steinseifer, Katharina Linden, Ulrike Herberg, Ingeborg Friehs, Daniel Diaz‐Gil, Michael Neidlin

“…We showcase its use on real‐time three‐dimensional echocardiography data of three patient datasets from two different clinical centers. We outline how different modeling assumptions of the mitral valve can be implemented and quantify their effect on CFD simulations. …”
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A Triangular Personalized Recommendation Algorithm for Improving Diversity by Biao Cai, Xiaowang Yang, Yusheng Huang, Hongjun Li, Qiang Sang

“…Furthermore, the experimental results showed that the TR algorithm had better performance on diversity and novelty for real datasets of MovieLens-100K and MovieLens-1M than did the other benchmark methods.…”
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Varying Collimation for Dark-Field Extraction by Ge Wang, Wenxiang Cong, Haiou Shen, Yu Zou

“…Then, analysis of these corresponding datasets will produce desirable dark-field signals; for example, via digitally subtraction. …”
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Non-target feature filtering for weakly supervised semantic segmentation by Xuesheng Zhou, Yan Li, Guitao Cao, Wenming Cao

“…We conduct extensive evaluations of NFF-CAM on popular datasets, including PASCAL VOC 2012 and MS COCO 2014. …”
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Eliciting Emotions: Investigating the Use of Generative AI and Facial Muscle Activation in Children’s Emotional Recognition by Manuel A. Solis-Arrazola, Raul E. Sanchez-Yanez, Ana M. S. Gonzalez-Acosta, Carlos H. Garcia-Capulin, Horacio Rostro-Gonzalez

“…The integration of both datasets during training and validation phases enhances model performance and adaptability.…”
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Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions by Tehseen Mazhar, Sunawar khan, Tariq Shahzad, Muhammad Amir khan, Mamoon M. Saeed, Joseph Bamidele Awotunde, Habib Hamam

“…Generative AI and Blockchain provide safe patient data storage, high-quality AI training datasets, and efficient healthcare operations. Scalability, energy usage, and interoperability issues remain. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…. • The results are measured based on the metrics such as, specificity, sensitivity, precision, accuracy and F-Score, using the data from benchmark datasets. Compared to the existing lung tumor segmentation and classification models, the proposed model provides better results and evidence for earlier disease diagnosis.…”
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STICI: Split-Transformer with integrated convolutions for genotype imputation by Mohammad Erfan Mowlaei, Chong Li, Oveis Jamialahmadi, Raquel Dias, Junjie Chen, Benyamin Jamialahmadi, Timothy Richard Rebbeck, Vincenzo Carnevale, Sudhir Kumar, Xinghua Shi

“…Abstract Despite advances in sequencing technologies, genome-scale datasets often contain missing bases and genomic segments, hindering downstream analyses. …”
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Multi-level representation learning via ConvNeXt-based network for unaligned cross-view matching by Fangli Guan, Nan Zhao, Zhixiang Fang, Ling Jiang, Jianhui Zhang, Yue Yu, Haosheng Huang

“…The experimental results indicate that we have achieved advanced performance on two common datasets, University-1652 and SUES-200 at 89.79% and 95.75% in drone target matching and 94.87% and 98.80 in drone navigation.…”
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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

“…Experimental results on several hyperspectral datasets demonstrate that the proposed algorithm excels in anomaly detection tasks, offering new insights and approaches for HAD.…”
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Unmanned Aerial Vehicles for Real-Time Vegetation Monitoring in Antarctica: A Review by Kaelan Lockhart, Juan Sandino, Narmilan Amarasingam, Richard Hann, Barbara Bollard, Felipe Gonzalez

“…While initial studies suggest that DL models could match or surpass the performance of established classifiers, even on small datasets, the integration of these advanced models into real-time navigation systems on UAVs remains underexplored. …”
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An Efficient Retinal Fluid Segmentation Network Based on Large Receptive Field Context Capture for Optical Coherence Tomography Images by Hang Qi, Weijiang Wang, Hua Dang, Yueyang Chen, Minli Jia, Xiaohua Wang

“…With only 1.02 million parameters and a computational complexity of 3.82 G FLOPs, LKMU-Lite achieves state-of-the-art performance across multiple metrics on the ICF and RETOUCH datasets, demonstrating both its efficiency and generalizability compared to existing methods.…”
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Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence by Abhinandan Khan, Sudip Mandal, Rajat Kumar Pal, Goutam Saha

“…Subsequently, we have implemented our proposed framework on experimental (in vivo) datasets. Finally, we have investigated two medium sized genetic networks (in silico) extracted from GeneNetWeaver, to understand how the proposed algorithm scales up with network size. …”
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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

“…The model demonstrated strong predictive capability, with only seven misclassifications from 267 datasets, highlighting its robustness and reliability in predicting the crystal structure of orthosilicate cathodes. …”
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