Pest detection system using machine learning techniques

Pest detection system using machine learning techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022

ग्रंथसूची विवरण
मुख्य लेखकों:	Prithvi, Protyusha Barua, Zahin, Fabliha, Anny, Sanjida Sultana
अन्य लेखक:	Chakrabarty, Amitabha
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	Brac University 2022
विषय:	Deep learning Transfer learning Pest detection Data augmentation Loss function Hyperparameter tuning Support Vector Machine (SVM) Inceptionv3 Xception You Only Look Once version 5 (YOLOv5) Convolutional Neural Network (CNN) Machine learning Cognitive learning theory (Deep learning) Neural networks (Computer science)
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/17127

समान संसाधन

Classifying insect pests from image data using deep learning
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Diabetic retinopathy detection and classification by using deep learning
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Deep learning-based real-time pothole detection for avoiding road accident
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An efficient deep learning approach to classify white blood cells
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An efficient deep learning approach to detect skin Cancer
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Corn leaf disease detection using deep convolution neural network
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Document template identification and data extraction using machine learning and deep learning approach
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Visual object classification from fMRI data
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An efficient ML approach to detect brain tumor using MRI images
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Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
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Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
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Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
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Comparative analysis and implementation of credit risk prediction through distinct machine learning models
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A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
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Skin cancer detection and classification using multiple optimized deep convolutional neural network
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Density based traffic control system for a four way intersection
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Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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Prostate cancer detection using deep learning neural network with transfer learning approach
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An efficient deep learning approach to detect skin cancer using image data
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Performance analysis of stacking neural network and machine learning model for detecting fraudulent transaction
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Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
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ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
द्वारा: Bhuiyan, Abir Ahammed, और अन्य
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Application of CNN based architectures in detection of distracted drivers
द्वारा: Arafin, Irfana, और अन्य
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Leveraging sequential deep learning models for detecting multitude of human action categories
द्वारा: Pranta, Kazi Al Refat, और अन्य
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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
द्वारा: Hasan, M. M. Kamrul, और अन्य
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Intracranial hemorrhage detection using CNN-LSTM fusion model
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Visual object recognition using deep convolutional neural network
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Classification of peripheral blood cell images using deep learning
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Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
द्वारा: Rayhan, Mohammad, और अन्य
प्रकाशित: (2020)

Fighting depression: psychological approaches among Bangladeshi university students
द्वारा: Sen, Sanjib Kumar, और अन्य
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A modern technique to detect potholes by Computer Vision and Deep Learning
द्वारा: Saif, Muntasir Mahmud, और अन्य
प्रकाशित: (2023)

Detection of handwritten text using convolutional neural network
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Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
द्वारा: Alhossen, Md., और अन्य
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Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
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Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
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Classification of retinal diseases from OCT images using deep learning models
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Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
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