[HTML][HTML] Transforming weed management in sustainable agriculture with artificial intelligence: A systematic literature review towards weed identification and deep …
In the face of increasing agricultural demands and environmental concerns, the effective
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …
management of weeds presents a pressing challenge in modern agriculture. Weeds not only …
Modeling time series data with deep learning: A review, analysis, evaluation and future trend
Time series modeling is a challenging and demanding problem. In the recent year, deep
learning (DL) has attracted huge attention in many fields of research, including time series …
learning (DL) has attracted huge attention in many fields of research, including time series …
A method of develo** quantile convolutional neural networks for electric vehicle battery temperature prediction trained on cross-domain data
The energy consumption caused by battery thermal management of electric vehicles can be
reduced using predictive control. A predictive controller needs a prediction model of the …
reduced using predictive control. A predictive controller needs a prediction model of the …
[HTML][HTML] WBC-based segmentation and classification on microscopic images: a minor improvement
Methods A triple thresholding method was proposed to segment the WBCs; meanwhile, a
convolutional neural network (CNN)-based binary classification model that adopts transfer …
convolutional neural network (CNN)-based binary classification model that adopts transfer …
AI Model for Industry Classification Based on Website Data
T Jagrič, A Herman - Information, 2024 - mdpi.com
This paper presents a broad study on the application of the BERT (Bidirectional Encoder
Representations from Transformers) model for multiclass text classification, specifically …
Representations from Transformers) model for multiclass text classification, specifically …
Competencies of Teachers in Game-Based Pedagogy.
Learning in the twenty-first century is becoming more dependent on the use of digital tools
and interactive media. Teachers play a crucial role in creating game-based learning …
and interactive media. Teachers play a crucial role in creating game-based learning …
Hypergraph convolutional neural networks for clinical diagnosis of monkeypox infections using skin virological images
Abstract The Monkeypox virus (Mpoxv), characterized by its distinct vesiculopustular rash,
has re-emerged as a significant zoonotic pathogen, posing severe public health risks and …
has re-emerged as a significant zoonotic pathogen, posing severe public health risks and …
Video recommendation using social network analysis and user viewing patterns
M Maghsoudi, MH Zohdi - arxiv preprint arxiv:2308.12743, 2023 - arxiv.org
This study proposes a novel video recommendation approach that leverages implicit user
feedback in the form of viewing percentages and social network analysis techniques. By …
feedback in the form of viewing percentages and social network analysis techniques. By …
Towards multi-agent system for learning object recommendation
AS Mohamedhen, A Alfazi, N Arfaoui, R Ejbali… - Heliyon, 2024 - cell.com
The rapid increase of online educational content has made it harder for students to find
specific information. E-learning recommender systems help students easily find the learning …
specific information. E-learning recommender systems help students easily find the learning …
Automatic candidature selection by artificial natural language processing
Finding the right person for the job is a daunting task, especially when we have a large
number of job applicants. This will reduce the performance of the team looking for a suitable …
number of job applicants. This will reduce the performance of the team looking for a suitable …