Internal structure of LSTM. حسب Umme Ayman (22103987)

"…<div><p>Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence generation. …"

Statistical analysis of data. حسب Umme Ayman (22103987)

"…<div><p>Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence generation. …"

Accuracy of existing machine learning models. حسب Umme Ayman (22103987)

"…<div><p>Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence generation. …"

Performance analysis of machine learning models. حسب Umme Ayman (22103987)

"…<div><p>Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence generation. …"

Simple RNN architecture. حسب Umme Ayman (22103987)

"…<div><p>Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence generation. …"

Model architecture. حسب Umme Ayman (22103987)

"…<div><p>Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence generation. …"

Word cloud for each class of dataset. حسب Umme Ayman (22103987)

"…<div><p>Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence generation. …"

Detailed statistical summary of dataset. حسب Umme Ayman (22103987)

"…<div><p>Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence generation. …"

Incentivizing Inclusive Data Contributions in Personalized Federated Learning حسب Siheng Chen (17899618)

Table 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx حسب Hongwei Li (17402)

"…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. First, image preprocessing is performed to enhance the image quality and extract distinct crop regions. …"

Table 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx حسب Hongwei Li (17402)

"…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. First, image preprocessing is performed to enhance the image quality and extract distinct crop regions. …"

Image 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif حسب Hongwei Li (17402)

"…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. First, image preprocessing is performed to enhance the image quality and extract distinct crop regions. …"

Image 3_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif حسب Hongwei Li (17402)

"…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. First, image preprocessing is performed to enhance the image quality and extract distinct crop regions. …"

Image 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif حسب Hongwei Li (17402)

"…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. First, image preprocessing is performed to enhance the image quality and extract distinct crop regions. …"

Intra-breath measurements - supporting information of “Pattern recognition in intra-breath oscillometry measurements" حسب Ágnes Sára Németh (21733748)

"…</li></ul></li><li>The paper provides step-by-step instructions on how to process these signals to compute the <b>mechanical impedance of the respiratory system (Zrs)</b> and offers explanations for all signal components involved.…"

Overall framework of the proposed methodology. حسب Jiandong Qiu (20389944)

Memory Usage (MB). حسب Xikeng Liang (20571399)

"…To address these challenges, we propose a novel deep-learning method called DMGCN for domain identification. The process begins with preprocessing that constructs two types of graphs: a spatial graph based on Euclidean distance and a feature graph based on Cosine distance. …"

Summary of the datasets used in this study. حسب Xikeng Liang (20571399)

"…To address these challenges, we propose a novel deep-learning method called DMGCN for domain identification. The process begins with preprocessing that constructs two types of graphs: a spatial graph based on Euclidean distance and a feature graph based on Cosine distance. …"

Performance of various methods on HBC. حسب Xikeng Liang (20571399)

"…To address these challenges, we propose a novel deep-learning method called DMGCN for domain identification. The process begins with preprocessing that constructs two types of graphs: a spatial graph based on Euclidean distance and a feature graph based on Cosine distance. …"

Performance of various loss terms on HBC. حسب Xikeng Liang (20571399)

"…To address these challenges, we propose a novel deep-learning method called DMGCN for domain identification. The process begins with preprocessing that constructs two types of graphs: a spatial graph based on Euclidean distance and a feature graph based on Cosine distance. …"