A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions by Ramon Dalmau, Jonathan Attia

“…The robustness of this model against noise and uncertainty in the training dataset is fortified by the application of confident learning techniques and the inclusion of monotonic constraints. …”
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Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

“…A Dice coefficient of 85.95% was achieved for the segmentation of blood vessels in the Stare dataset, in addition to 97.46% accuracy for binary classification and 96.10% accuracy for classifying DR into five classes in the dataset APTOS 2019.…”
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A Multiple-Classifier Framework for Parkinson’s Disease Detection Based on Various Vocal Tests by Mahnaz Behroozi, Ashkan Sami

“…For this purpose, several datasets of voice samples exist; the UCI dataset named “Parkinson Speech Dataset with Multiple Types of Sound Recordings” has a variety of vocal tests, which include sustained vowels, words, numbers, and short sentences compiled from a set of speaking exercises for healthy and people with Parkinson’s disease (PWP). …”
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CNN-Based Pupil Center Detection for Wearable Gaze Estimation System by Warapon Chinsatit, Takeshi Saitoh

“…In addition, this paper presents a process to create an eye image dataset using a wearable camera. This dataset, which was used to evaluate the proposed method, has approximately 20,000 images and a wide variation of eye states. …”
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Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis by Hongdi Zhou, Lin Zhu, Xixing Li

“…To comprehensively reflect the status of rolling bearing and improve the classification accuracy, fusion information is widely used in various studies, which may result in high dimensionality, redundancy information of dataset, and time consumption. Thus, it is of crucial significance in extracting optimal features from high-dimensional and redundant feature space for classification. …”
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Factors Predetermining Increased Aqueous Humour Flare in Long-Term Glaucoma Treatment by G. Pakuliene, L. Kuzmiene, I. Januleviciene

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Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system. by Shengtian Zhang, Yong Li, Xiaoxia Song, Chenghao Yang, Niusha Shafiabady, Robert M X Wu

“…We integrated various types of UGC data, including images, texts, and spatiotemporal information, to create a comprehensive UGC dataset. Then, we adopted the improved Inception V3 model, the bidirectional long short-term memory network (BiLSTM) model with multi-head attention, and geographic information system (GIS) technology to recognize basic tourist feature information from the UGC dataset, such as the content, sentiment, and spatiotemporal perceptual dimensions of the data, achieving a recognition accuracy of over 97%. …”
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Electronic Medical Record Entity Recognition via Machine Reading Comprehension and Biaffine by Jun Cao, Xian Zhou, Wangping Xiong, Ming Yang, Jianqiang Du, Yanyun Yang, Tianci Li

“…The proposed method outperforms from the electronic medical record dataset, called CCKS2017 data, and the TCM dataset. …”
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A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification by Qinghe Zheng, Mingqiang Yang, Xinyu Tian, Nan Jiang, Deqiang Wang

“…Finally, experimental results about image classification on the coarse-grained dataset CIFAR-10 (93.41%) and fine-grained dataset CIFAR-100 (70.22%) demonstrate the effectiveness of the framework by comparing with state-of-the-art results.…”
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Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis by Xiaoyan Sun

“…Introducing gradient harmonic loss and cross entropy loss to enhance the model’s attention to minority classes in the dataset and alleviate the impact of data imbalance on diagnostic results. …”
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Diphencyprone Induced Vitiligo: A Case Report by Mohammad Ali Nilforoushzadeh, Gelavizh Keshtmand, Fariba Jaffary, Abbas Kheirkhah

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Enhancing urban air quality prediction using time-based-spatial forecasting framework by Shrikar Jayaraman, Nathezhtha T, Abirami S, Sakthivel G

“…The model was trained on the training dataset, and a 6 hour forecast is generated for each test instance. …”
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Optimal Dual RNA-Seq Mapping for Accurate Pathogen Detection in Complex Eukaryotic Hosts by Infanta Eden M., Umashankar Vetrivel

“…In this way, the pathogenic read information found at lesser proportions in a complex eukaryotic dataset is precisely obtained. This protocol presents a comprehensive comparison of these possible approaches, resulting in a robust unified standard methodology.…”
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Review on Haploidentical Hematopoietic Cell Transplantation in Patients with Hematologic Malignancies by William A. Fabricius, Muthalagu Ramanathan

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South American Climatology and Impacts of El Niño in NCEP’s CFSR Data by Timothy Paul Eichler, Ana C. Londoño

“…Until recently, the best methods for evaluating regional climate variability were via observation networks and coarse-gridded reanalysis datasets. However, the recent development of high-resolution reanalysis datasets offers an opportunity to better evaluate the climatologically diverse continent of South America. …”
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Influence of flow on phosphorus-dynamics and particle size in agricultural drainage ditch sediments. by Jay Capasso, Jehangir H Bhadha, Allan Bacon, Lilit Vardanyan, Raju Khatiwada, Julio Pachon, Mark Clark, Timothy Lang

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An Evaluation of Deep Learning Methods for Small Object Detection by Nhat-Duy Nguyen, Tien Do, Thanh Duc Ngo, Duy-Dinh Le

“…Extensive empirical evaluation was conducted on 2 standard datasets, namely, a small object dataset and a filtered dataset from PASCAL VOC 2007. …”
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Improved Real-Time Traffic Obstacle Detection and Classification Method Applied in Intelligent and Connected Vehicles in Mixed Traffic Environment by Luyao Du, Xiongjie Chen, Zhonghui Pei, Donghua Zhang, Bo Liu, Wei Chen

“…Experiments are performed on the established dataset on Windows PC and NVIDIA TX2, respectively. …”
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A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

“…The proposed hybrid (KMS + PCA + RFC) approach achieves remarkable performance, with an accuracy of 99.94% and an f1-score of 99.94% on the WSN-DS dataset. For the TON-IoT dataset, it achieves 99.97% accuracy and an f1-score of 99.97%, outperforming traditional SMOTE TomekLink and Generative Adversarial Network-based data balancing techniques. …”
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The Multiple Extended Tidal Tails of NGC 288 by Carl J. Grillmair

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