THOR2: Topological Analysis for 3D Shape and Color‐Based Human‐Inspired Object Recognition in Unseen Environments by Ekta U. Samani, Ashis G. Banerjee

“…Therefore, THOR2 is a promising step toward achieving robust recognition in low‐cost robots.…”
Get full text

Diagnosis of Tuberculosis Using Medical Images by Convolutional Neural Networks by Abolfazl Pordeli Shahreki, Fatemeh Sadat Hosseini-Baharanchi, Masoud Roudbari

“…This research aimed to design an accurate and accessible automatic diagnosis system that can solve diagnosis problems using deep learning.Methods: Six convolutional neural networks (CNNs), InceptionV3, ResNet50, DenseNet201, MnasNet, MobileNetV3, and EfficientNet-B4, were trained by transfer learning, the Adam optimizer, and 20 training epochs using the new, large, and accurate TBX11K dataset. …”
Get full text

Facial Feature Extraction Algorithm Based on Improved YOLOv7-Tiny by Yining Yao, Yawen Wang, Changyuan Wang, Yibo Zhang, Tingting Liu, Gaofeng Wang

Get full text

Soil Condition Classification Based on Natural Water Content Using Computer Vision Technique by Mark Miller, Yong Fang, Yubo Wang, Sergey Kharitonov, Vladimir Akulich

“…First, laboratory soil tests were carried out, and the relationship between the amount of torque on the screw conveyor and the moisture content of the soil was established; photographs of the soil at different conditions were taken at each step of the experiment. Second, the resulting dataset after preprocessing was processed by convolutional neural network algorithms during deep learning; the transfer learning technique was used to obtain better results. …”
Get full text

An intelligent prediction method of gas concentration in coal mines based onimproved TCN-TimeGAN by Qingsong HU, Shuo ZHENG, Shiyin LI, Yanjing SUN

“…When conducting model training, the first step is to normalize the gas time series and process missing data values. …”
Get full text

A novel image captioning model with visual-semantic similarities and visual representations re-weighting by Alaa Thobhani, Beiji Zou, Xiaoyan Kui, Asma A. Al-Shargabi, Zaid Derea, Amr Abdussalam, Mohammed A. Asham

Get full text

Educational Intervention “Open Conversation and Reflection” to Enhance Person-Centeredness in Acute Geriatric Wards: A Qualitative Study of Consequences and Processes by Karen Versluys, Sarah Janssens, Mieke Grypdonck, Let Dillen, Nele Van Den Noortgate, Linus Vanlaere, Ruth Piers

Get full text

Robust lung segmentation in Chest X-ray images using modified U-Net with deeper network and residual blocks by Wiley Tam, Paul Babyn, Javad Alirezaie

“…In response, Computer-Aided Diagnostic (CAD) tools can be used to potentially streamline and expedite the diagnostic process. Recently, deep learning techniques have gained prominence in the automated analysis of CXR images, particularly in segmenting lung regions as a critical preliminary step. …”
Get full text

3D fault detection method using TransVNet by Yang Lei, Chenqiang Zhang, Wenjing Wu, Mingchun Chen, Mingchun Chen, Xiaotao Wen, Xilei He, Chenggang Bai, Siping Qin, Ying Li, Lijing Wang

“…IntroductionIn seismic structural interpretation, fault detection plays a crucial role as it serves as the foundation and key step for identifying favorable oil and gas zones. …”
Get full text

DeepB3P: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN by Qiang Tang, Wei Chen

“…Methods: A transformer-based deep learning model, DeepB3P, was proposed for predicting BBBP. …”
Get full text

Predicting iron contents in the Tamra-Douahria mining site using a deep neural network approach by Zohra Kraiem, Fathi Maalaoui, Salah Bouhlel, Chaouki Sadik, Ali Sdiri

“…Iron content was estimated from the measured lead, zinc, manganese, silica and arsenic using unsupervised machine learning tools (HCA and PCA) and deep neural network. …”
Get full text

A novel system for automated continuous on-farm assessment of digital dermatitis using artificial intelligence by Ajmal Shahbaz, Wenhao Zhang, Melvyn Smith

“…By synergistically integrating image capture with foot cleaning, high-quality videos of hooves are captured as cows step away from a cleaning and disinfecting footbath as part of their daily routine. …”
Get full text

DualTransAttNet: A Hybrid Model with a Dual Attention Mechanism for Corn Seed Classification by Fei Pan, Dawei He, Pengjun Xiang, Mengdie Hu, Daizhuang Yang, Fang Huang, Changmeng Peng

“…Compared to typical machine learning and deep learning models, the proposed model exhibits superior performance with an overall accuracy, F1-score, and Kappa coefficient of 90.01%, 88.9%, and 88.4%, respectively. …”
Get full text

Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder by Praveen Kumar, Priyanka Priyanka, K. V. Uday, Varun Dutt

“…Abstract Predicting slope movement has become a great challenge, especially in the Himalayan region, as such natural hazards cause great damage. Machine Learning (ML) models can help in the prediction of landslide hazards. …”
Get full text

GeNIS: A modular dataset for network intrusion detection and classificationZenodo by Miguel Silva, Daniela Pinto, João Vitorino, José Gonçalves, Eva Maia, Isabel Praça

“…The flows were preprocessed to provide a reliable benchmark dataset with the most relevant features for the training, validation, and testing of robust machine learning and deep learning models.…”
Get full text

Exploring the Kidney-Brain Crosstalk: Biomarkers for Early Detection of Kidney Injury-Related Alzheimer’s Disease by Cai Y, Huang G, Ren M, Chai Y, Fu Y, Yan T, Zhu L

“…Keywords: kidney injury, Alzheimer’s disease, kidney-brain crosstalk, ferroptosis, bioinformatics, machine learning…”
Get full text

Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…These findings necessitate the integrated methodological development for wheat demand and supply mechanisms using the two-step floating catchment area (2SFCA) approach for a more thorough analysis of socioeconomic developments. …”
Get full text

An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction by Zechen Peng, Shaoxing Mo, Alexander Y. Sun, Jichun Wu, Xiankui Zeng, Miao Lu, Xiaoqing Shi

“…This study proposes Bayesian TimesNet (BTimesNet), a novel deep learning model for probabilistic and explainable GWL prediction. …”
Get full text

UAV as a Bridge: Mapping Key Rice Growth Stage with Sentinel-2 Imagery and Novel Vegetation Indices by Jianping Zhang, Rundong Zhang, Qi Meng, Yanying Chen, Jie Deng, Bingtai Chen

Get full text

Cyclical medication management interventions in health care settings: A systematic review by Isabelle Meulenbroeks, Crisostomo Mercado, Rachel Urwin, Karla Seaman, Anna Kelly, Osman Qadri, Johanna Westbrook I.

Get full text