Latest Trend and Challenges in Machine Learning– and Deep Learning–Based Computational Techniques in Poultry Health and Disease Management: A Review by Shwetha V., Maddodi B. S., Vijaya Laxmi, Abhinav Kumar, Sakshi Shrivastava

“…The advancement of machine learning (ML)– and deep learning (DL)–based algorithms are boons for poultry health and disease management. …”
Get full text

Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare by Nargish Parvin, Sang Woo Joo, Jae Hak Jung, Tapas K. Mandal

“…Advanced tools like AlphaFold have significantly improved protein structure prediction, enabling the creation of biomaterials with enhanced biological compatibility. …”
Get full text

Functional control of the technical condition method for aircraft control system sensors under complete parametric uncertainty by J. V. Bondarenko, E. Yu. Zybin

“…Fast tuning, fast response and selective sensitivity of the developed algorithms are noted.…”
Get full text

Measuring the Dimension Accuracy of Products Created by 3D Printing Technology with the Designed Measuring System by Martin Pollák, Dominik Sabol, Karol Goryl

“…Comprehensive analysis of measurements in combination with advanced algorithms can provide more accurate dimensional characteristics and the prediction of defects. …”
Get full text

Can Ai Revolutionize Qspr Models for the Chemical Mixtures Hazards? by Guillaume Fayet, Nour Helou, Patricia Rotureau

“…The physical hazards of chemical mixtures are typically characterized using experimental tools that could benefit to be prioritized by using predictive methods. Indeed, experimental tests can be costly, complex, time-consuming, and potentially dangerous for the operator. …”
Get full text

Integrated multiomics analysis identifies potential biomarkers and therapeutic targets for autophagy associated AKI to CKD transition by Yaojun Wang, Qiang Li

“…Single-cell analysis showed that ATP6V1C1 and COPA were specifically expressed in AKI and CKD, which may be related to renal fibrosis. In addition, drug prediction and molecular docking analysis proposed SZ(+)-(S)-202-791 and PDE4 inhibitor 16 as potential therapeutic agents. …”
Get full text

Hybrid LSTM–Attention and CNN Model for Enhanced Speech Emotion Recognition by Fazliddin Makhmudov, Alpamis Kutlimuratov, Young-Im Cho

“…Even though deep learning algorithms are actively used in this field, the study of sequence modeling that accounts for the shifts in emotions over time has not been thoroughly explored. …”
Get full text

Comprehensive prevention and control strategy for top coal fire based on the intelligent mine comprehensive management and control platform by Miao ZHAO

“…The existing fire perception and prevention technology and equipment are evaluated, and their problems are pointed out, such as incomplete perception coverage and immature early warning model algorithms. Based on these issues, a comprehensive fire prevention and control center is constructed, and a comprehensive prevention and control strategy is proposed, including fire prediction and early warning, coal spontaneous combustion prevention and treatment strategies, as well as associated disaster prevention and control, and emergency response and rescue strategy previews. …”
Get full text

Optimizing Euclidean Distance Computation by Rustam Mussabayev

“…From spatial data structures and approximate nearest neighbor algorithms to dimensionality reduction, vectorization, and parallel computing, various approaches exist to accelerate Euclidean distance computation in different contexts. …”
Get full text

Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers by Xiansheng Guo, Sihua Shao, Nirwan Ansari, Abdallah Khreishah

“…Unlike the existing RSSs-based algorithms, several representative machine learning algorithms are adopted to train multiple classifiers based on these RSSs fingerprints. …”
Get full text

Fuzzy logic based adaptive duty cycling for sustainability in energy harvesting sensor actor networks by Sai Krishna Mothku, Rashmi Ranjan Rout

“…In this paper, a fuzzy based adaptive duty cycling algorithm has been proposed to achieve the network sustainability in harvesting sensor actor networks. …”
Get full text

Harnessing gene expression to identify the genetic basis of drug resistance by Bo‐Juen Chen, Helen C Causton, Denesy Mancenido, Noel L Goddard, Ethan O Perlstein, Dana Pe'er

“…We systematically applied our algorithm to data generated from a collection of yeast segregants, using genotype and gene expression data generated under drug‐free conditions to predict the response to 94 drugs and experimentally confirmed 14 novel gene–drug interactions. …”
Get full text

HAVEN: Haptic And Visual Environment Navigation by a Shape-Changing Mobile Robot with Multimodal Perception by Barry W. Mulvey, Thrishantha Nanayakkara

“…In this work, we introduce a new framework named Haptic And Visual Environment Navigation (HAVEN) Architecture to combine vision and proprioception for a deformable mobile robot to be more agile in obstructed environments. The algorithms enable the robot to be autonomously (a) predictive by analysing visual feedback from the environment and preparing its body accordingly, (b) reactive by responding to proprioceptive feedback, and (c) active by manipulating obstacles and gap sizes using its deformable body. …”
Get full text

A Topical Review of Quantum and Classical Machine Learning Approaches to Disaster Escape Routing Problems by A. Vinil, Parameswaran Iyer, Jetain Chetan, Aniket Bembale, Nagendra Singh

“…The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. …”
Get full text

A deep neural network framework for estimating coastal salinity from SMAP brightness temperature data by Yidi Wei, Qing Xu, Qing Xu, Xiaobin Yin, Xiaobin Yin, Yan Li, Yan Li, Kaiguo Fan

“…The framework leverages machine learning interpretability tools (Shapley Additive Explanations, SHAP) to optimize input feature selection and employs a grid search strategy for hyperparameter tuning.Results and discussionSystematic validation against independent in-situ measurements demonstrates that the baseline DNN model constructed for the entire region and time period outperforms conventional algorithms including K-Nearest Neighbors, Random Forest, and XGBoost and the standard SMAP SSS product, achieving a reduction of 36.0%, 33.4%, 40.1%, and 23.2%, respectively in root mean square error (RMSE). …”
Get full text

Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning by C. Joseph, P. Uma Maheswari

“…Experimental results demonstrate significant improvements in students’ behavior and reductions in smartphone usage post-intervention. The TMVM system achieves high accuracy in emotion detection and behavioral outcome prediction while fostering engagement in school and social activities. . …”
Get full text

A 3D acid fracturing design calibrated to describe the productivity index in several southwestern Iranian oil fields by Mohammad Mirhashemi, Kaveh Ahangari, Ali Naghi Dehghan, Kamran Goshtasbi

“…Once these parameters are stabilized, the algorithm proceeds to calculate acid concentration at each node within the fracture area. …”
Get full text

Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features by Lianyu Sui, Huan Meng, Jianing Wang, Wei Yang, Lulu Yang, Xudan Chen, Liyong Zhuo, Lihong Xing, Yu Zhang, Jingjing Cui, Xiaoping Yin

“…Firstly, voxel-based gray-level discretization (binWidth = 25) and Z-Score normalization were applied to preprocess the patient's ROI and normalize the extracted features. Then, the most predictive radiomic features were selected and their corresponding coefficients were evaluated using the correlation coefficient algorithm and the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. …”
Get full text

Case of acute drug-induced hepatitis after halothane anesthesia by I. Yu. Pirogova, Ye. V. Berestova, O. Yu. Bastrikov, Ye. B. Kovaleva, T. P. Petukhova, M. V. Guseva, I. A. Gubina, I. V. Rezepin, S. P. Sinitsyn

Get full text

TerraCraft: City-scale generative procedural modeling with natural languages by Zichen Xi, Zhihao Yao, Jiahui Huang, Zi-Qi Lu, Hongyu Yan, Tai-Jiang Mu, Zhigang Wang, Qun-Ce Xu

Get full text