A Fortran–Python interface for integrating machine learning parameterization into earth system models by T. Zhang, C. Morcrette, C. Morcrette, M. Zhang, W. Lin, S. Xie, Y. Liu, K. Van Weverberg, K. Van Weverberg, J. Rodrigues

“…<p>Parameterizations in earth system models (ESMs) are subject to biases and uncertainties arising from subjective empirical assumptions and incomplete understanding of the underlying physical processes. Recently, the growing representational capability of machine learning (ML) in solving complex problems has spawned immense interests in climate science applications. …”
Get full text

E-MACH: Energy efficient multi-attribute based clustering scheme for energy harvesting wireless sensor networks by Inam Ul Haq, Qaisar Javaid, Zahid Ullah, Zafar Zaheer, Mohsin Raza, Muhammad Khalid, Ghufran Ahmed, Saleem Khan

Get full text

Automatic Blob Detection Method for Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…Initially, this approach prepares and pre-processes data through various augmentation methods to increase the dataset size. …”
Get full text

Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…Initially, this approach prepares and pre-processes data through various augmentation methods to increase the dataset size. …”
Get full text

Abnormal heart sound recognition using SVM and LSTM models in real-time mode by Moy’awiah A. Al-Shannaq, Areen Nasrawi, Abed Al-Raouf K. Bsoul, Ahmad A. Saifan

“…Furthermore, we found an efficient automatic segmentation method that was tested with the PASCAL database achieving a total error of 867,525.6 and 23,590.3 ms for datasets A and B respectively, with a computational time of 0.04 s to segment one cardiac cycle.…”
Get full text

Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques by Somia Ali, Uzma Jamil, Muhammad Younas, Bushra Zafar, Muhammad Kashif Hanif

Get full text

Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach by Osama F. Hassan, Ahmed F. Ibrahim, Ahmed Gomaa, M. A. Makhlouf, B. Hafiz

Get full text

CacPred: a cascaded convolutional neural network for TF-DNA binding prediction by Shuangquan Zhang, Anjun Ma, Xuping Xie, Zhichao Lian, Yan Wang

“…Aligned TFBSs of the same TF are seen as cis-regulatory motifs, and substantial computational efforts have been invested to find motifs. …”
Get full text

CLS-3D: Content-Wise LiDAR-Camera Fusion and Slot Reweighting Transformer for 3D Object Detection in Autonomous Vehicles by Husnain Mushtaq, Sohaib Latif, Muhammad Saad Bin Ilyas, Syed Muhammad Mohsin, Mohammed Ali

Get full text

Uncovering dendritic cell specific biomarkers for diagnosis and prognosis of cardiomyopathy using single cell RNA sequencing and comprehensive bioinformatics analysis by Md. Mizanur Rahman, Md Habibur Rahman, Md. Arju Hossain, Kh Mujahidul Islam, Prosenjit Saha Apu, Mahfuj Khan, Md Golam Kibria, Siddique Akber Ansari, Mahammad Humayoo

Get full text

Bearing Fault Vibration Signal Feature Extraction and Recognition Method Based on EEMD Superresolution Sparse Decomposition by Zhang- Jian, S. Selvakumar Raja, Deng Nan, Mawien Kon

Get full text

Data publishing in mechanics and dynamics: challenges, guidelines, and examples from engineering design by Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, Manish Yadav, Merten Stender, Leon Schindler, Kristin Miriam de Payrebrune, Maximilian Raff, C. David Remy, Benedict Röder, Rohit Raj, Tobias Rentschler, Alexander Tismer, Stefan Riedelbauch, Peter Eberhard

Get full text

WEB-BASED SYSTEM FOR RADIOLOGICAL PROTECTION PROGRAMS: A REPOSITORY FOR RESEARCH, CONSULTATION AND INFORMATION by Denise S. Levy, Gian Maria Agostino Angelo Sordi

“…WEB platform tools and functionalities were developed according to target public needs, regarding new possibilities of media, mobile access, and information sharing. The servers processing power added to the technology of relational databases allow to integrate information from different sources, enabling complex queries with reduced response time. …”
Get full text

A genetic algorithm-based ensemble model for efficiently identifying interleukin 6 inducing peptides by Md. Harun-Or-Roshid, Hiroyuki Kurata

“…Therefore, computational prediction has gained attention as an alternative method. …”
Get full text

Optimizing the neural network and iterated function system parameters for fractal approximation using a modified evolutionary algorithm by Sana Abdulla, K. Mahipal Reddy

“…Our results highlight the potential of integrating fractal-based interpolation with machine learning techniques, paving the way for applications in computational geometry, image processing, and time series forecasting.…”
Get full text

Impact of 3D Printing and CAD/CAM Technology on Orthodontic Treatment Outcomes: A Systematic Review and Meta-Analysis by Navin Anand Ingle, Hashim Al-Hashimi, Arwa Tawfiq Alhammad, Hadeel Abdullah Aldajani, Nisrin Fouad Alabsi, Nada Ahmed Albuolayan

“…Three-dimensional (3D) printing and computer-aided design/computer-aided manufacturing (CAD/CAM) technology in orthodontics have enabled digital workflows, enabling greater treatment efficiency, accuracy, and clinical use. …”
Get full text

Myopia and age-related macular degeneration: structural and anatomical changes of the eye by I. B. Alekseev, Ju. A. Nam

“…If defects, detachment, or drusen are present, computer perimetry parameters and BVCA are reducing. …”
Get full text

A two-step sequential method for device-free localization using wireless sensor networks by Tingting Wang, Wendong Hua, Wei Ke

Get full text

Investigation of a mathematical model of a bio-artificial liver using a PID-controller by Alexey S. Ganshin, Denis A. Andrikov

“…The application of a PID-controller is considered, which allows precise and adaptive control of processes within the model, such as the supply of nutrients and the removal of toxins. …”
Get full text

DYMRO-SLAM: A Robust Stereo Visual SLAM for Dynamic Environments Leveraging Mask R-CNN and Optical Flow by Hongjie Cui, Xin Zhao, Guanyao Luo

“…Specifically, the system separates dynamic targets from the stationary background during image processing stage to improve the accuracy of its localization in dynamic scenes; When processing key and non-keyframes, the system adopts feature point tracking and optical flow tracking, respectively, which greatly reduces computation time of descriptors and thus improves the real-time performance. …”
Get full text