CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy by Bowen Tan, Shiying Li, Mengbo Wang, Shuai Cheng Li

Get full text

Enhancing the Accuracy of Image Classification for Degenerative Brain Diseases with CNN Ensemble Models Using Mel-Spectrograms by Sang-Ha Sung, Michael Pokojovy, Do-Young Kang, Woo-Yong Bae, Yeon-Jae Hong, Sangjin Kim

“…The proposed ternary classification algorithm integrates the predictions of binary CNN classifiers through a majority voting ensemble strategy. …”
Get full text

ECG Signal Detection and Classification of Heart Rhythm Diseases Based on ResNet and LSTM by Qiyang Xie, Xingrui Wang, Hongyu Sun, Yongtao Zhang, Xiang Lu

“…It is important to achieve efficient and accurate automatic detection of arrhythmias for clinical diagnosis and treatment of cardiovascular diseases. Based on previous research on electrocardiogram (ECG) automatic detection and classification algorithm, this paper uses the ResNet34 network to learn the morphological characteristics of ECG signals and get the significant information of signals, then passes into a three-layer stacked long-term and short-term memory network to get the context dependency of the features. …”
Get full text

SAFIRE STRENGTH OPTIMIZATION: EFFECT ON TISSUE CONTRAST AND PATHOLOGICAL ASSESSMENT OF BRAIN MSCT WITH NON-HEMORRHAGE STROKE (SNH) by I Putu Eka Juliantara, Angel Lingkan Martoyo, Made Sayang Pratista

“…Background: Sinogram Affirmed Iterative Reconstruction (SAFIRE) is an Iterative Reconstruction algorithm that combines IR techniques that utilize raw data and image data iterations as parameters that underlie noise regularization in images in the reconstruction process to improve image quality. …”
Get full text

Cyberattack Monitoring Architectures for Resilient Operation of Connected and Automated Vehicles by Zulqarnain H. Khattak, Brian L. Smith, Michael D. Fontaine

Get full text

An Improved UNet-Based Path Recognition Method in Low-Light Environments by Wei Zhong, Wanting Yang, Junhuan Zhu, Weidong Jia, Xiang Dong, Mingxiong Ou

“…These results significantly enhance path recognition accuracy in trellis orchards, particularly under low light under conditions. Compared to the FCN and SegNet algorithms, this method provides higher detection accuracy and offers a new theoretical foundation and research approach for path recognition in low-light environments.…”
Get full text

Sources of uncertainty in the SPITFIRE global fire model: development of LPJmL-SPITFIRE1.9 and directions for future improvements by L. Oberhagemann, L. Oberhagemann, M. Billing, W. von Bloh, M. Drüke, M. Drüke, M. Forrest, S. P. K. Bowring, J. Hetzer, J. Ribalaygua Batalla, K. Thonicke

Get full text

RSNC-YOLO: A Deep-Learning-Based Method for Automatic Fine-Grained Tuna Recognition in Complex Environments by Wenjie Xu, Hui Fang, Shengchi Yu, Shenglong Yang, Haodong Yang, Yujia Xie, Yang Dai

Get full text

Unraveling the role of gut microbiome in predicting adverse events in neoadjuvant therapy for rectal cancer by Jingxin Ma, Shengbo Sun, Xin Cheng, Cong Meng, Hanzheng Zhao, Wentao Fu, Yan Gao, Liyan Ma, Zhengyang Yang, Hongwei Yao, Jianrong Su

Get full text

Dimensionality Reduction problem: a Comprehensive Exploration of Disjoint Principal Component Analysis (DPCA) and Disjoint Multiple Correspondence Analysis (DMCA) by Mario Fordellone

“…We navigate through the intricacies of their algorithms and explore how they unveil patterns within complex datasets. …”
Get full text

Non-destructive method using UAVs for high-throughput water productivity assessment for winter wheat cultivars by Na Liu, Qingshan Liu, Zimeng Liu, Yang Lu, Zongzheng Yan, Liwei Shao

Get full text

Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features by Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, Jonas Honer, Wibke Deisting, Jonas Anlahr, Anja Hoenig, Julia Czwikla, Eva Sienz-Widmann, Doris Rau, Austin J. Rice, Timothy P. Riley, Danqing Li, Hannah B. Catterall, Christine E. Tinberg, Jeffrey J. Gray, Kathy Y. Wei

Get full text

Free-living use of artificial pancreas for children with type 1 diabetes: systematic review by Klemen Dovc, Gül Yeşiltepe Mutlu, Yury I. Philippov, Dmitry N. Laptev, Evgenia M. Patrakeeva, Lubov O. Chernilova, Alsu G. Zalevskaya, Marina V. Shestakova, Tadej Battelino

“…More research with prospective randomized control design required to prove benefits of closed-loop glucose control. …”
Get full text

Interplay of lung microbiome and epigenetics in former smokers: A machine learning and fuzzy logic approach on COPD progression by Hamidreza Taherkhani, Azadeh Kavianfar, Hossein Lanjanian, Nazanin Hosseinkhan, Mahdieh Salimi, Sajjad Nematzadeh, Mohammad Mehdi Naghizadeh, Sadegh Azimzadeh, Ali Masoudi-Nejad

Get full text

Cost-effectiveness of FIT and a FIT-based model to optimise symptomatic diagnosis of colorectal cancer: health economic modelling for the COLOFIT project by Linda Sharp, Sarah Bailey, Colin Rees, Willie Hamilton, Dawn Craig, Joe West, David Humes, Gary Abel, James Turvill, Brian Nicholson, Chloe Thomas, Jim Chilcott, Colin Crooks, Olena Mandrik, John Whelpton

“…Introduction Fecal immunochemical testing (FIT) at a threshold of 10 mg haemaglobin (Hb)/g is used in English primary care to prioritise urgent referral for colorectal cancer (CRC) investigation in symptomatic patients. The COLOFIT algorithm, based on FIT score, age, sex and blood results, performs better than FIT alone for identifying CRC. …”
Get full text

Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…Through training and meticulous hyperparameter tuning, this study compares 7 different AI models fed with experimental data from 21 thrusters and their different configurations, reaching a total of 58 thruster designs, spanning decades of thruster research and development work. …”
Get full text

Deep Learning for Early Earthquake Detection: Application of Convolutional Neural Networks for P-Wave Detection by Dauren Zhexebay, Alisher Skabylov, Margulan Ibraimov, Serik Khokhlov, Aldiyar Agishev, Gulnur Kudaibergenova, Aibala Orazakova, Almansur Agishev

“…The research outputs presented for the local region are unique. …”
Get full text

Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices by Yangcan Bao, Xiaofeng Lin, Mingming Jia, Zhongyong Xiao, Cuiping Wang, Jiangfu Liao, Yinghui Zhang

“…In this study, a random forest algorithm (RF) and Sentinel-2 time series data were applied using the Google Earth Engine platform. …”
Get full text

A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning by Zemin Eitan Liu, Wennan Long, Zhenlin Chen, James Littlefield, Liang Jing, Bo Ren, Hassan M. El-Houjeiri, Amjaad S. Qahtani, Muhammad Y. Jabbar, Mohammad S. Masnadi

Get full text

Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking by Maarten Perneel, Ines Adriaens, Ben Aernouts, Jan Verwaeren

“…However, the majority of available computer vision algorithms to study animal behaviour is highly tailored towards a single research objective, limiting possibilities for data reuse. …”
Get full text