[PDF][PDF] A comparative review on deep learning models for text classification

M Zulqarnain, R Ghazali, YMM Hassim… - Indones. J. Electr. Eng …, 2020‏ - academia.edu
Text classification is a fundamental task in several areas of natural language processing
(NLP), including words semantic classification, sentiment analysis, question answering, or …

[PDF][PDF] An effective pomegranate fruit classification based on CNN-LSTM deep learning models

MT Vasumathi, M Kamarasan - Indian Journal …, 2021‏ - sciresol.s3.us-east-2.amazonaws …
Objectives: To employ a deep learning technique that would sort the fruits into normal and
abnormal based on the features such as fruit colour, number of fruit spots, and shape of the …

[HTML][HTML] A convolutional neural network algorithm for pest detection using GoogleNet

IN Yulita, MFR Rambe, A Sholahuddin, AS Prabuwono - AgriEngineering, 2023‏ - mdpi.com
The primary strategy for mitigating lost productivity entails promptly, accurately, and
efficiently detecting plant pests. Although detection by humans can be useful in detecting …

Comparison of CNNs for lung biopsy images classification

D Hlavcheva, V Yaloveha… - 2021 IEEE 3rd …, 2021‏ - ieeexplore.ieee.org
Deep learning approaches are widely used in the processing of medical images, including
histopathological images for cancer diagnosis. Therefore, the scientific and practical …

Deep learning for grape variety recognition

B Franczyk, M Hernes, A Kozierkiewicz… - Procedia Computer …, 2020‏ - Elsevier
The production of food in an ecologically and economically sustainable manner is of
significant importance today. Agricultural producers are increasingly being accompanied by …

Facial expression recognition method based on PSA—YOLO network

R Ma, R Zhang - Frontiers in neurorobotics, 2023‏ - frontiersin.org
In order to improve the recognition speed and accuracy of face expression recognition, we
propose a face expression recognition method based on PSA—YOLO (Pyramids Squeeze …

[PDF][PDF] Home security system with face recognition based on convolutional neural network

NS Irjanto, N Surantha - International Journal of Advanced …, 2020‏ - researchgate.net
Security of house doors is very important and becomes the basis for the simplest and easiest
security and sufficient to provide a sense of security to homeowners and along with …

[HTML][HTML] Comparison of deep learning methods for grapevine growth stage recognition

M Schieck, P Krajsic, F Loos, A Hussein… - … and Electronics in …, 2023‏ - Elsevier
Monitoring the phenological development stages of grapes represents a challenge in
viticulture. It includes the phenological distinction of the growth stages of grapevines and the …

[PDF][PDF] Comparison of CNNs and SVM for voice control wheelchair

MSI Sharifuddin, S Nordin, AM Ali - IAES International Journal of …, 2020‏ - academia.edu
In this paper, we develop an intelligent wheelchair using CNNs and SVM voice recognition
methods. The data is collected from Google and some of them are self-recorded. There are …

Identification of the types of disease for tomato plants using a modified gray wolf optimization optimized MobileNetV2 convolutional neural network architecture driven …

G Mukherjee, A Chatterjee… - … and Computation: Practice …, 2022‏ - Wiley Online Library
Tomato is a widely consumed fruit across the world due to its high nutritional values. Leaf
diseases in tomato are very common which incurs huge damages but early detection of leaf …