Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…The proposed method consists of three determining steps: 1) The input data is initially prepared for the next steps using preprocessing techniques. …”
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SOFTWARIZATION OF THE PRODUCTION: THE INDUSTRY 4.0 APPROACH by Logica BANICA, Cristian STEFAN, Ionela NEDEA, Elena SOARE

“…The case study was realized with ThingsBoard free software, in order to show the steps in building a Smart Factory model and the potential of such an advanced tool for smart manufacturing.…”
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A comprehensive comparison of bias correction methods in climate model simulations: Application on ERA5-Land across different temporal resolutions by Pranav Dhawan, Daniele Dalla Torre, Majid Niazkar, Konstantinos Kaffas, Michele Larcher, Maurizio Righetti, Andrea Menapace

“…Here, we propose a comprehensive analysis of statistical univariate and multivariate, as well as machine learning methods for bias correction, which are compared on different temporal scales, ranging from hourly time steps to monthly aggregations, in an environment of complex Alpine orthography, using ERA5-Land reanalysis data. …”
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Automatic MRI Lymph Node Annotation From CT Labels by Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

“…The translation-based registration model for the algorithm’s first and third steps uses a discriminator-free StyleGAN2 translation network and a deformable image registration network with a U-Net-inspired architecture. …”
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Sentiment Analysis of Online Vehicle Tax Renewal Application Users Using Support Vector Machine Algorithm by Muhamad Ilham Fauzy, Ferian Fauzi Abdulloh

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Everyday referenced use of a digital temperature sensor – how well do alternative ice cubes really cool a drink? by Fleischer Timo, Feichtner Julia, Strauß Isabella, Strahl Alexander

“…The entire cooling process of the ice cubes is explained and calculated, which essentially consists of three sub-steps: heating the ice cubes to melting temperature, melting the ice cubes, mixing the melted ice cube with the drink. …”
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HawkEye: AI-Driven Software for Objective Analysis and Characterization of Nodular Cast Iron Microstructures by Javier Nieves, Antonio Serena-Barriuso, Guillermo Elejoste-Rementeria

“…In fact, the proposed approach achieves 99% accuracy in nodule classification compared to manual expert assessment, reduces manual image processing steps, and introduces a novel method for ferrite/perlite measurement in combination with carbide detection using YOLO and SAM models.…”
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Application of VGG16 in Automated Detection of Bone Fractures in X-Ray Images by Resky Adhyaksa, Bedy Purnama

“…The purpose of this research is to determine whether or not a deep learning model called VGG16 can automatically identify bone fractures in X-ray pictures. …”
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Short term prediction of photovoltaic power with time embedding temporal convolutional networks by Jingxin Wang, Guohan Li, Jin Gu, Zhengyi Xu, Xinrong Chen, Jianming Wei

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Effect of water entry temperature and aging parameters on precipitation and mechanical properties of 7075 aluminum alloy by NIU Changhai, SUN Qian, ZHENG Jia, PANG Qiu

“…Additionally， machine learning techniques are integrated to optimize and match the key process parameters. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…Utilizing R software, we performed an initial screen for differentially expressed genes (DEGs), which was followed by the enrichment analyses to elucidate the affected functions and pathways. Subsequent steps included the application of three machine learning algorithms for key gene identification, and the validation of these genes within both a cohort exposed to benzene and a benzene-exposed mice model. …”
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Hybrid Teacher Training in Arduino-based Science Education across Different Modalities by Lia Laela Sarah, Greg Shaw, Andi Suhandi, Ida Kaniawati, Mubiar Agustin

“…Of the participants, 18 engaged in face-to-face instruction, while others embraced online learning through synchronousplatforms, such as Zoom, and asynchronous media, such as Google Classroom. …”
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Improving Classification Performance by Addressing Dataset Imbalance: A Case Study for Pest Management by Antonello Longo, Maria Rizzi, Cataldo Guaragnella

“…Imbalanced data are a non-trivial problem in deep learning. The high variability in the number of samples composing each category might force learning procedures to become biased towards classes with major cardinality and disregard classes with low instances. …”
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Ensemble automated approaches for producing high‐quality herbarium digital records by Robert P. Guralnick, Raphael LaFrance, Julie M. Allen, Michael W. Denslow

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InceptMan: An InceptionNeXt-Based Architecture for End-to-End Mandible Reconstruction by Nattapon Kamboonsri, Natdanai Tantisereepatana, Titipat Achakulvisut, Peerapon Vateekul

“…Mandible reconstruction is one of the virtual surgical planning (VSP) steps in mandible reconstruction surgery, particularly in cases involving tumors or radical cancer surgery. …”
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Efficient UAV-Based Automatic Classification of Cassava Fields Using K-Means and Spectral Trend Analysis by Apinya Boonrang, Pantip Piyatadsananon, Tanakorn Sritarapipat

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Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images by Mohammed Alsieni, Khaled H. Alyoubi

“…Initially, the image pre-processing stage involves various steps, including resizing, normalization, data augmentation, and data splitting, to enhance image quality. …”
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Design of a deep fusion model for early Parkinson’s disease prediction using handwritten image analysis by Shyamala K, Navamani T M

“…We demonstrated the RGG-Net model in a series of steps such as preprocessing images, ResNet-50 and GoogLeNet models for feature extraction, combining the features using the Adaptive Feature Fusion technique and selecting the relevant features using the attention process, making the models stronger through Hierarchical Ensemble Learning. …”
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Design and implementation of a project management training program to develop workforce ready skills and career readiness in STEM PhD students and postdoctoral trainees by Elizabeth J. Salm, Caleb C. McKinney

“…At Georgetown University Medical Center, we adapted Kern's six-steps of curriculum design to develop the Academy for Transferable Management Skills (ATMS) program to help graduate and postdoctoral trainees develop linear experience in utilizing project management tools in their academic research contexts. …”
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Building Cyber-Attack Immunity in Electric Energy System Inspired by Infectious Disease Ecology by Hussain M. Mustafa, Sajan K. Sadanandan, Anurag K. Srivastava, Arif R. Sarwari, Rebecca Reece

“…Our use case demonstrates that the framework can help defending against the initial steps of a cyber-attack and, through iterative learning, effectively counter all subsequent stages of similar attacks. …”
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