Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation by Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…By boosting feature propagation, this integration increases the model’s ability to recognize minute patterns in cervical cell images, hence increasing classification accuracy. …”
Get full text

Monitoring the Ecological Security of Esfahan with an Ecosystem Service Approach by Mostafa Keshtkar, Romina Sayahnia

“…In addition, the negative values of EFCI illustrates the higher effectiveness of the consumption footprint in determining the ecological safety index than the production footprint, and according to the decision-making model, this index in the ‘high risk’ class. …”
Get full text

Genetic algorithm feature selection resilient to increasing amounts of data imputation by Maryam Kebari, Annie S Wu

Get full text

Time synchronisation for millisecond-precision on bio-loggers by Timm A. Wild, Georg Wilbs, Dina K. N. Dechmann, Jenna E. Kohles, Nils Linek, Sierra Mattingly, Nina Richter, Spyros Sfenthourakis, Haris Nicolaou, Elena Erotokritou, Martin Wikelski

“…We first introduce an error model to quantify time errors, then optimise three wireless methods for automated onboard time (re)synchronisation on bio-loggers (GPS, WiFi, proximity messages). …”
Get full text

CT radiomics identifying non‐responders to neoadjuvant chemoradiotherapy among patients with locally advanced rectal cancer by Zinan Zhang, Xiaoping Yi, Qian Pei, Yan Fu, Bin Li, Haipeng Liu, Zaide Han, Changyong Chen, Peipei Pang, Huashan Lin, Guanghui Gong, Hongling Yin, Hongyan Zai, Bihong T. Chen

Get full text

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis by Pierre Heudel, Mashal Ahmed, Felix Renard, Arnaud Attye

“…The dimension reduction technique PaCMAP was used to map patient profiles into a 3D space, allowing comparison with similar cases to estimate prognoses and potential treatment benefits. …”
Get full text

Interpretable machine learning for predicting isolated basal septal hypertrophy. by Lei Gao, Boyan Tian, Qiqi Jia, Xingyu He, Guannan Zhao, Yueheng Wang

“…The data were divided into training and test sets in a 7:3 ratio. Five machine learning algorithms -XGBoost, Random Forest(RF), Dicision tree(DT), K-Nearest Neighbor classification(KNN), and Naive Bayes(NB) were applied to construct the models, combined with logistic regression (LR) based on Lasso regression. …”
Get full text

Development and validation of a nomogram for predicting postoperative pulmonary complications in older patients undergoing noncardiac thoracic surgery: a prospective, bicentric coh... by Yongxin Zhou, Haiyan Wang, Dianyu Lu, Tao Jiang, Zhanpeng Huang, Feixiang Wang, Yonghua Yao, Yu Gu, Wei Wei

Get full text

Applications of Machine Learning in Human Factors and Ergonomics: A Comprehensive Review of Research From the Past Decade by Erman Cakit, Waldemar Karwowski

Get full text

XV-AMD: An Explainable Vision Transformer Detection Framework for Age-Related Macular Degeneration Using Fundus Imaging by Aya A. Abd El-Khalek, Hossam Magdy Balaha, Mohamed T. Azam, Ashraf Sewelam, Mohammed Ghazal, Abeer T. Khalil, Mohy Eldin A. Abo-Elsoud, Ayman El-Baz

Get full text

Failure anticipation scheme in distribution systems based on wave distortions and Montecarlo methods by Rishabh Bhandia, Jose J. Chavez, Miloš Cvetković, Pedro M. García-Vite, Marjan Popov, Peter Palensky

“…This paper proposes a universal Failure Anticipation and Diagnosis Scheme (FADS) to detect incipient failures in AC distribution grids. The method comprises three short stages, helping the operator make an informed decision. …”
Get full text

PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units by Hardik Telangore, Heneel Makwana, Prithviraj Verma, Manish Sharma, Hasan S. Mir, U. Rajendra Acharya

Get full text

Development of a novel nomogram to predict hemorrhagic transformation following endovascular treatment in patients with acute ischemic stroke by Xiaofen Zhao, Yuanjie Le, Ting Xin, Guosheng Gao, Mengya Zhu, Kai Xun, Xinliang Mao

Get full text

Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…The majority of the AI applications in dentistry are for diagnosis based on radiographic or optical images, while other tasks are not as applicable as image-based tasks mainly due to the constraints of data availability, data uniformity, and computational power for handling 3D data. Evidence-based dentistry (EBD) is regarded as the gold standard for decision making by dental professionals, while AI machine learning (ML) models learn from human expertise. …”
Get full text

Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

Get full text

Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

Get full text

Predicting Methods for Analyzing Data on Fatal Outcome Possibility in the Combination of Acute Coronary Syndrome and Atrial Fibrillation According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

“…For the construction of predictive models, a statistical method was used for the classification trees and, the procedure for neural networks implemented in the STATISTICA package. …”
Get full text

Application of geodetic and mine surveying technologies in monitoring deformations of man-made structures by Yu.O. Zabolotna, Ye.A. Koroviaka, O.A. Pashchenko, V.O. Rastsvietaiev

Get full text

A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

Get full text

Impact of hippocampectomy on seizure freedom in temporal encephaloceles: A systematic review and individual participant data meta‐analysis by Panagiota‐Eleni Tsalouchidou, Alexandros Matsingos, Wiebke Hahn, Katja Menzler, Susanne Knake

Get full text