RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

“…The proposed CAD system completely eliminates the need for extensive user intervention, enabling the processing of large amounts of image data with robust and highly accurate results.…”
Get full text

Enhancing vector control: AI-based identification and counting of Aedes albopictus (Diptera: Culicidae) mosquito eggs by Minghao Wang, Yibin Zhou, Shenjun Yao, Jianping Wu, Minhui Zhu, Linjuan Dong, Dunjia Wang

Get full text

Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification by Timo T. Stomberg, Lennart A. Reißner, Martin G. Schultz, Ribana Roscher

“…Attribution methods like Grad-CAM and occlusion sensitivity analysis are frequently used to identify how features contribute to predictions of neural networks. …”
Get full text

Enhancing drinking water safety: Real-time prediction of trihalomethanes in a water distribution system using machine learning and multisensory technology by Antonio J. Aragón-Barroso, David Ribes, Francisco Osorio

“…In total, a total of two predictive models were built, based on data filtered by conductivity levels, with coefficients of determination (R2) of 0.64 and 0.47. …”
Get full text

Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

“…Experimental results demonstrate that the proposed model outperforms existing methods in terms of mean Average Precision, showcasing superior performance, practical applicability, and its potential to advance remote sensing image analysis and energy infrastructure monitoring.…”
Get full text

Implementation and Impact Assessment of Organic Crop Rotation Techniques for Soil Health Improvement in Temperate Agroecosystems by Shnain Ammar H., Abed Z., Siri Dharmapuri

“…Time series data analysis is performed by LSTM networks to make predictions regarding the trends of soil health as well as to predict the long-term results from crop rotation strategy. …”
Get full text

Advanced Assessment of Oxidative Stress and Inflammation in Military Personnel: Development of a Novel IIRPM Score Using Artificial Intelligence by Florina-Diana Mihai, Emil-Tiberius Trasca, Patricia-Mihaela Radulescu, Razvan Mercut, Elena-Irina Caluianu, Eleonora Daniela Ciupeanu-Calugaru, Dan Marian Calafeteanu, Georgiana-Andreea Marinescu, Suzana Danoiu, Dumitru Radulescu

“…We applied robust statistical techniques, including paired <i>t</i>-tests and Pearson correlation analyses, to assess variations in hematologic and metabolic parameters. Data segmentation was performed using Gaussian mixture models, and the predictive performance of the resulting model was validated with a multi-layer perceptron (MLP) neural network. …”
Get full text

Investigation of a suspected measles outbreak in a security crisis and border zone, Cinkansé, Burkina Faso, November 2022 by Morou Nikiema, Aloukoumane Lengane, Denis Yelbeogo, Bérenger Kabore, Madi Saidou Bagaya, Issa Guire, Abdramane Sawadogo, Souleymane Kabore, Yamregma Kabore

Get full text

Monitoring Changes to Small-Sized Lakes Using Medium Spatial and Temporal Satellite Imagery in the Badain Jaran Desert from 2015 to 2020 by Qinyu Zhao, Luyan Ji, Yonggang Su, Kai Yu, Yongchao Zhao

“…Thereby, in this study, we focus on applying the deep learning based spatiotemporal fusion method (super-resolution based spatial fusion with Generative Adversarial Network (GAN)) to a low spatial yet high temporal resolution data (i.e., MODIS 250 m daily reflectance time series) and a high spatial yet low temporal resolution data (i.e., Landsat 30 m 16-day reflectance time series) to generate a daily 30 m time series for 37 selected lakes in the Badain Jaran Desert. …”
Get full text

Epidemiology of knee osteoarthritis in general practice: a registry-based study by Pavlos Mamouris, Bert Vaes, Miek Smeets, David Spitaels, Frank Luyten, Rosella Hermens, Patrik Vankrunkelsven

“…In the study period between 1996 and 2015, data from 440 140 unique patients were available.Outcome measures Trends in prevalence and incidence rate of knee osteoarthritis were computed using joinpoint regression analysis. …”
Get full text

The enhanced integration of proven techniques to quantify the uncertainty of forecasting extreme flood events based on numerical weather prediction models by Mitra Tanhapour, Jaber Soltani, Hadi Shakibian, Bahram Malekmohammadi, Kamila Hlavcova, Silvia Kohnova, Peter Valent

“…A Multi-Model Ensemble (MME) system was developed using the Group Method of Data Handling (GMDH) and Weighted Average-Weighted Least Square Regression (WA-WLSR) models to post-process raw precipitation forecasts. …”
Get full text

Geospatial and temporal pattern of reported snakebite cases to health facilities in the Savannah Region, Ghana, 2018 – 2022 by Williams Azumah Abanga, Adjei Sarfo Kwabena, Jonas Adodoo, Gyesi Razak Issahaku, George Akowuah, Magdalene Akos Odikro, Delia Akosua Bandoh, Ernest Kenu, Chrysantus Kubio

Get full text

Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…By meticulously recording the response times of the three primary components of the system, the valuable data were gathered. The average time required for image processing was determined to be 29.50 ms, while the transmission of decision signals took an average of 6.40 ms. …”
Get full text

Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…They can effectively provide the information of APT organizations, thereby assisting in the traceability analysis of network attack events. Aiming at the problem that APT analysis reports have not been fully utilized, and there is a lack of automation methods to generate structured knowledge and construct feature portraits of the hacker organizations, an automatic knowledge extraction method of APT attacks combining entity recognition and entity alignment is proposed. …”
Get full text

Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…They can effectively provide the information of APT organizations, thereby assisting in the traceability analysis of network attack events. Aiming at the problem that APT analysis reports have not been fully utilized, and there is a lack of automation methods to generate structured knowledge and construct feature portraits of the hacker organizations, an automatic knowledge extraction method of APT attacks combining entity recognition and entity alignment is proposed. …”
Get full text

A fine-grained human facial key feature extraction and fusion method for emotion recognition by Shiwei Li, Jisen Wang, Linbo Tian, Jianqiang Wang, Yan Huang

“…Additionally, the comparative analysis shows that emotional features across different faces show similarities. …”
Get full text

Classification-based point cloud denoising and 3D reconstruction of roadways by Denghong CHEN, Ning PANG, Wen NIE, Juqiang FENG, Jiliang KAN, Jinjing ZHANG

“…The integration algorithm could automatically analyze the noise types of point cloud data and then efficiently remove noise at different scales via an adaptive mechanism, thus achieving in-depth cleaning of main point cloud data. …”
Get full text

3DVT: Hyperspectral Image Classification Using 3D Dilated Convolution and Mean Transformer by Xinling Su, Jingbo Shao

“…Furthermore, traditional convolutional neural networks (CNNs) primarily focus on local features in hyperspectral data, neglecting long-range dependencies and global context. …”
Get full text

Replay-Based Incremental Learning Framework for Gesture Recognition Overcoming the Time-Varying Characteristics of sEMG Signals by Xingguo Zhang, Tengfei Li, Maoxun Sun, Lei Zhang, Cheng Zhang, Yue Zhang

“…This study proposes an incremental learning framework based on densely connected convolutional networks (DenseNet) to capture non-synchronous data features and overcome catastrophic forgetting by constructing replay datasets that store data with different time spans and jointly participate in model training. …”
Get full text

Explaining the Livability of Isfahan City Based on Life City Discourse by Seyed Ali Hashemianfar, Ahmad Mehrshad, Mohammad Heydari, Nariman Mohammadi

“…Data analysis in the qualitative phase was conducted using a coding technique based on the four layers of causal layered analysis. …”
Get full text