MLDFNet: A Multilabel Dual-Flow Network for Change Detection in Bitemporal Remote Sensing Images by Daniyaer Sidekejiang, Panpan Zheng, Liejun Wang

“…Extensive experiments demonstrate that MLDFNet significantly outperforms existing state-of-the-art methods, achieving outstanding F1 scores of 91.72%, 97.84%, and 94.85% on the LEVIR-CD, CDD, and BCDD datasets, respectively. These results validate its superior performance and potential value in real-world remote sensing applications.…”
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A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE) by Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron

“…The proposed approach comprises four main steps, which are pre-processing, feature selection, feature engineering, and ensemble methods. We use 11 datasets from Nasdaq and S&P 500 to ensure the accuracy of the proposed approach. …”
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View adaptive multi-object tracking method based on depth relationship cues by Haoran Sun, Yang Li, Guanci Yang, Zhidong Su, Kexin Luo

“…Finally, the comparison results with 12 representative methods demonstrate that ViewTrack outperforms multiple metrics on the benchmark datasets. The code is available at https://github.com/Hamor404/ViewTrack .…”
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Decoding SFRP2 progenitors in sustaining tooth growth at single-cell resolution by Tianyuan Zhao, Qing Zhong, Zewen Sun, Xiaoyi Yu, Tianmeng Sun, Zhengwen An

“…Methods Leveraging multiple single-cell datasets, we constructed a comprehensive dental pulp cell landscape to delineate tissue similarities and species-specific differences between humans and mice. …”
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Case study of a neuroendocrine tumor of uncertain origin: single-cell transcriptomics unravels potential primary location by Frolova Tatyana, Ekaterina Avsievich, Diana Salimgereeva, Zoia Antysheva, Alesia Maluchenko, Denis Maksimov, Ilia Feidorov, Mark Voloshin, Olga Glazova, Natalia Bodunova, Nikolay Karnaukhov, Pavel Volchkov, Julia Krupinova

“…Publicly available transcriptomic datasets from pancreatic and small intestine NETs were used to develop and validate a molecular gene signature for tissue-of-origin identification. …”
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A low functional redundancy-based network slimming method for accelerating deep neural networks by Zheng Fang, Bo Yin

“…We conduct experiments on image classification task based on CIFAR-10 and CIFAR-100 datasets. Our framework achieves over 2.0 × parameters and FLOPs reductions, while maintaining < 1 % loss in accuracy, and even improve accuracy of large-volume models. …”
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Sentimentally enhanced conversation recommender system by Fengjin Liu, Qiong Cao, Xianying Huang, Huaiyu Liu

“…Extensive experimental results on two public CRS datasets demonstrate the effectiveness of our approach. …”
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Evaluation and Correction of the Ambient Particle Spectral Light Absorption Measured Using a Filter-based Aethalometer by Gang Zhao, Yingli Yu, Ping Tian, Jing Li, Guo Song, Chunsheng Zhao

“…A method was proposed to effectively correct the historical datasets of σabs and the absorption Å ngström exponent by using the AE33 with Tape 8050. …”
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BACVC: Bi-adaptive and cross-view consistency for incomplete multi-view subspace clustering by Jiaqiyu Zhan, Yuesheng Zhu, Guibo Luo

“…Extensive experiments on four benchmark datasets show that BACVC outperforms eleven state-of-the-art methods, with improvements of up to 4.39%, 5.43%, and 3.95% in ACC, NMI, and purity, respectively. …”
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Headline-Guided Extractive Summarization for Thai News Articles by Pimpitchaya Kositcharoensuk, Nakarin Sritrakool, Ploy N. Pratanwanich

“…Experiments on publicly available Thai news datasets demonstrate that CHIMA outperforms baseline models across ROUGE, BLEU, and F1 scores. …”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…By leveraging Azure Machine Learning's capabilities, researchers and healthcare professionals can analyze large datasets containing patient information and medical records to identify patterns and risk factors associated with heart attacks. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Experimental results show that our proposed model outperforms the state-of-the-art models in MSA on two benchmark datasets.…”
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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&#x2019;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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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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Saturated Transposon Analysis in Yeast as a one-step method to quantify the fitness effects of gene disruptions on a genome-wide scale. by Enzo Kingma, Floor Dolsma, Leila Iñigo de la Cruz, Liedewij Laan

“…While our method provides reproducible results between replicate SATAY datasets, the obtained fitness distribution differs substantially from those obtained using other techniques. …”
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Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

“…All the trials in this framework were accompanied utilizing CICDDoS-2019 datasets and contrasted with the other similar models. …”
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Identification of the immune infiltration and biomarkers in ulcerative colitis based on liquid–liquid phase separation-related genes by Zhixing Hong, Shilin Fang, Haihang Nie, Jingkai Zhou, Yuntian Hong, Lan Liu, Qiu Zhao

“…Both the microarray and scRNA-seq datasets showed a strong correlation with immune cell infiltration and cytokines, especially GBP1, TRIM22, SRI. …”
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ECG heartbeat classification using progressive moving average transform by Rabah Mokhtari, Samir Brahim Belhouari, Khelil Kassoul, Abderraouf Hocini

“…These findings underscore the effectiveness and stability of the proposed approach in accurately classifying heartbeats across different datasets, suggesting its potential for practical implementation in medical diagnostics and healthcare systems.…”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…Deep learning’s capacity to handle vast and complex datasets by extracting high-level features and enabling predictive analytics is particularly beneficial in healthcare, where timely and accurate diagnosis can significantly influence treatment outcomes. …”
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Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation Using Deep Learning-Based Image Processing Techniques by Samitha Vidhanaarachchi, Janaka L. Wijekoon, W. A. Shanaka P. Abeysiriwardhana, Malitha Wijesundara

“…The introduced methods were tested and validated using datasets collected from Matara, Puttalam, and Makandura, Sri Lanka. …”
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