Clustering of named entities AraVec model. حسب Abdelrahman Hamdy (22146220)

"…Word embedding models are a vital tool for analysing Twitter data sets, as they are considered one of the essential methods of transforming words into numbers that can be processed using machine learning (ML) algorithms. …"

Named entities table. حسب Abdelrahman Hamdy (22146220)

"…Word embedding models are a vital tool for analysing Twitter data sets, as they are considered one of the essential methods of transforming words into numbers that can be processed using machine learning (ML) algorithms. …"

Set of positive and negative words. حسب Abdelrahman Hamdy (22146220)

"…Word embedding models are a vital tool for analysing Twitter data sets, as they are considered one of the essential methods of transforming words into numbers that can be processed using machine learning (ML) algorithms. …"

Deep learning model parameters of LSTM. حسب Abdelrahman Hamdy (22146220)

"…Word embedding models are a vital tool for analysing Twitter data sets, as they are considered one of the essential methods of transforming words into numbers that can be processed using machine learning (ML) algorithms. …"

Probability graphical model of scMSI. حسب Yuqian Liu (1413763)

tUbenet Foundation Model Weights حسب Natalie Holroyd (7099391)

Table 1_Mitochondrial non-coding RNAs as novel biomarkers and therapeutic targets in lung cancer integration of traditional bioinformatics and machine learning approaches.xlsx حسب Liu Haoming (22524473)

"…Background<p>Lung cancer diagnosis requires cost-effective biomarkers. Mitochondrial non-coding RNAs (mtRNAs) represent unexplored diagnostic targets.…"

Mechanical Part Point Cloud Completion Dataset حسب Yuchao Jiang (21744920)

<i>Physcomitrium</i> false negative sorted by BaCeLlo. حسب Sven B. Gould (12237287)

Dual targeting predictions by cropPAL. حسب Sven B. Gould (12237287)

Experimentally verified and predicted organelle proteins as a percentage of the whole genome. حسب Sven B. Gould (12237287)

Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

"…We developed a deep learning framework that quantifies microbial impact values across samples, bypassing network reconstruction. This algorithm effectively avoids the tricky issue of differing keystoneness across species in various samples, making it applicable to AS assemblage samples from various environmental and climatic conditions. …"

Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

"…We developed a deep learning framework that quantifies microbial impact values across samples, bypassing network reconstruction. This algorithm effectively avoids the tricky issue of differing keystoneness across species in various samples, making it applicable to AS assemblage samples from various environmental and climatic conditions. …"

Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

"…We developed a deep learning framework that quantifies microbial impact values across samples, bypassing network reconstruction. This algorithm effectively avoids the tricky issue of differing keystoneness across species in various samples, making it applicable to AS assemblage samples from various environmental and climatic conditions. …"

Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

"…We developed a deep learning framework that quantifies microbial impact values across samples, bypassing network reconstruction. This algorithm effectively avoids the tricky issue of differing keystoneness across species in various samples, making it applicable to AS assemblage samples from various environmental and climatic conditions. …"

Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning حسب Sen Wang (135167)

"…We developed a deep learning framework that quantifies microbial impact values across samples, bypassing network reconstruction. This algorithm effectively avoids the tricky issue of differing keystoneness across species in various samples, making it applicable to AS assemblage samples from various environmental and climatic conditions. …"

S1 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism حسب Yutong Liu (4027994)

Vagueness. حسب Maeva El Bouchikhi (20442436)

"…<div><p>The deployment of the Internet of Things (IoT) technology (connected devices enabling algorithmic analysis of behaviour and individualized feedback) has been growing increasingly over the last decades, including in the workplace where they can serve occupational safety and health (OSH) purposes. …"

Role of employees. حسب Maeva El Bouchikhi (20442436)

"…<div><p>The deployment of the Internet of Things (IoT) technology (connected devices enabling algorithmic analysis of behaviour and individualized feedback) has been growing increasingly over the last decades, including in the workplace where they can serve occupational safety and health (OSH) purposes. …"

Characteristics of study participants. حسب Maeva El Bouchikhi (20442436)

"…<div><p>The deployment of the Internet of Things (IoT) technology (connected devices enabling algorithmic analysis of behaviour and individualized feedback) has been growing increasingly over the last decades, including in the workplace where they can serve occupational safety and health (OSH) purposes. …"