Frequency-Aware Integrity Learning Network for Semantic Segmentation of Remote Sensing Images by Penghan Yang, Wujie Zhou, Yuanyuan Liu

“…Experiments on the Vaihingen and Potsdam datasets demonstrate that our method outperforms current state-of-the-art segmentation techniques.…”
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An interaction relational inference method for a coal-mining equipment system by Xiangang Cao, Jiajun Gao, Xin Yang, Fuyuan Zhao, Boyang Cheng

“…The study included experiments on relevant datasets. The results show that EMIFC-CIRI successfully built various interaction relations of different strengths, with a 156.17% improvement in interaction-relation quality and a 68.17% improvement in dynamic modeling performance compared with state-of-the-art comparison methods. …”
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Boundary Extraction Based on Dual Stream Deep Learning Model in High Resolution Remote Sensing Images by Umut Aydar, Emin Özgür Avşar, Özgün Akçay, A. Cumhur Kınacı

“…For the training of the models, boundary maps produced from The International Society for Photogrammetry and Remote Sensing (ISPRS) Potsdam data set and input datasets augmented by rotation, mirroring and rotation were used. …”
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DDL R-CNN: Dynamic Direction Learning R-CNN for Rotated Object Detection by Weixian Su, Donglin Jing

“…Our method has been proven to surpass existing rotating detection networks in extensive testing across two widely used remote sensing detection datasets, namely UCAS-AOD and HRSC2016.…”
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Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Experimental results demonstrate that the proposed method, compared to the SRGAN algorithm, achieves average improvements of approximately 3.61 dB in Peak Signal-to-Noise Ratio (PSNR), 0.070 (8.2%) in Structural Similarity Index (SSIM), and 0.030 (3.1%) in Feature Similarity Index (FSIM) across multiple datasets, showing significant performance gains.…”
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Extending TextAE for annotation of non-contiguous entities by Jake Lever, Russ Altman, Jin-Dong Kim

“…Therefore, experts cannot even visualize non-contiguous entities, let alone annotate them to build valuable datasets for machine learning methods. To combat this problem and as part of the BLAH6 hackathon, we extended the TextAE platform to allow visualization and annotation of non-contiguous entities. …”
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Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

“…The QLSTM model leverages quantum computing techniques, including superposition and entanglement, to improve the model’s ability to handle the high-dimensional, nonlinear structure inherent in viral genomic datasets. These quantum enhancements allow the model to capture complex relationships in the data, improving its accuracy and performance in mutation detection compared to traditional methods. …”
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A Fuzzy Logic-Based Approach for Humanized Driver Modelling by Yuxiang Feng, Pejman Iravani, Chris Brace

“…Moreover, as the proposed method has high robustness to incomplete datasets, it can be a more cost-effective option to facilitate the development of humanized and customized vehicle control strategies for autonomous driving.…”
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Habit of elongate amphibole particles as a predictor of mesothelial carcinogenicity by Andrey A. Korchevskiy, Ann G. Wylie

“…Results: The decision boundary method was developed to distinguish asbestiform vs. non-asbestiform samples (with error rate of 0 % for single-sourced tremolite and 3 % for potentially mixed samples). All validation datasets were correctly classified. A new empirical dimensional coefficient of carcinogenicity (DCC) was proposed, with DCC = 1 - exp(-0.11 Surface Area /(1000width3 + 1)). …”
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GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India by Senthilkumar Harithaa, Selvaraj Evany Nithya

“…In total, 581 landslide locations were identified. Two datasets containing 407 landslides (70% of the total) for model development and 174 landslides (30%) for validation were randomly selected from the total number of landslides using GIS. …”
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Dual Generative Network with Discriminative Information for Generalized Zero-Shot Learning by Tingting Xu, Ye Zhao, Xueliang Liu

“…We have conducted a lot of experiments on six commonly used benchmark datasets (AWA1, AWA2, APY, FLO, SUN, and CUB). The experimental results show that our model outperforms several state-of-the-art methods for both traditional as well as generalized zero-shot learning.…”
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Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification by Shuangquan Yang, Tao Shan, Xiaomei Yang

“…Experimental validation with simulated datasets demonstrates that the DWT-1DCNN-LSTM model achieves an accuracy of 99.27%, outperforming the DWT-1DCNN, 1DCNN-LSTM, LSTM, and CNN models by 1.59%, 1.13%, 1.44%, and 6.48%, respectively. …”
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Evaluation of Background Black Carbon Concentration in India by Maji Smaran, V. Vinoj

“…The method is evaluated for consistency using ground-based observations (BC from Aethalometer) and extended to the whole Indian region using chemical reanalysis datasets (MERRA-2, Modern-Era Retrospective Analysis for Research and Applications, version 2). …”
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Attention-based interactive multi-level feature fusion for named entity recognition by Yiwu Xu, Yun Chen

“…We conducted generous comparative experiments on three datasets, and the experimental results showed that our model achieved better performance than several state-of-the-art models.…”
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Design, Multiperspective Investigations, and Performance Analysis of Multirotor Unmanned Aerial Vehicle for Precision Farming by Darshan Kumar Jayaram, Vijayanandh Raja, Beena Stanislaus Arputharaj, Hussein A. Z. AL-bonsrulah

“…Three AI systems were tested on different datasets to forecast plant stress by analyzing leaves due to technical constraints. …”
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Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism by Geunseok Yang, Jinfeng Ji, Jaehee Kim

“…The effectiveness of the proposed model was evaluated using datasets from the Eclipse and Mozilla open-source projects. …”
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Trends and determinants of maternal health services utilization in India from 2015 to 2021 by Wapangjungla Longchar, Prakash Babu Kodali, Sibasis Hense

“…The current study aims to investigate the distribution, trends, dropouts, and determinants of maternal health services (ANC, ID, and PNC) utilization along the CoC pathway using NFHS-4 and NFHS-5 datasets from 2015 to 2021. The binary logistic regression examined the association between the continuum of maternal health services utilization and the predictor variables. …”
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Pattems and models of flowering of some Gampanulaceae Juss. species by E. S. Fomin, T. I. Fomina

“…In combination with visualization tools, they can be used for augmenting plant phenotyping datasets with rendered images of synthetic plants for the purpose of training neural networks in this field.…”
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A Systematic Pan-Cancer Analysis of YY1 Aberrations and their Relationship with Clinical Outcome, Tumor Microenvironment, and Therapeutic Targets by Xinghao Fu, Feihong Ji, Qi He, Xinguang Qiu

“…We first explored the potential carcinogenic effect of YY1 in 33 cancers using the cancer genome atlas (TCGA) project and gene expression omnibus (GEO) datasets in this research. Then, we contained a variety of elements, for instance, gene expression, the state of survival, gene alterations, protein phosphorylation, immune infiltration, and related cellular pathways, and used a series of bioinformatics methods to investigate the underlying molecular mechanism of YY1 in the etiology or clinical prognosis of various malignancies. …”
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Zero-TCE: Zero Reference Tri-Curve Enhancement for Low-Light Images by Chengkang Yu, Guangliang Han, Mengyang Pan, Xiaotian Wu, Anping Deng

“…We compare our proposed method against ten other advanced algorithms based on multiple datasets, including LOL, DICM, MEF, NPE, and ExDark, that encompass complex illumination variations. …”
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