Evaluating the impact of tuned pre-trained architectures' feature maps on deep learning model performance for tomato disease detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17503-2.pdf
Reference26 articles.
1. Bakır H, Çayır AN, Navruz TS (2023) A comprehensive experimental study for analyzing the effects of data augmentation techniques on voice classification. Multimed Tools Appl 1–28
2. Bakır H, Elmabruk K (2023) Deep learning-based approach for detection of turbulence-induced distortions in free-space optical communication links. Phys Scr 98(6):065521
3. Bakır H, Bakır R (2023) DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms. Comput Electr Eng 110:108804
4. Ghanem R, Erbay H, Bakour K (2023) Contents-based spam detection on social networks using RoBERTa embedding and stacked BLSTM. SN Comput Sci 4(4):380
5. Demircioğlu U, Sayil A, Bakır H (2023) Detecting cutout shape and predicting ıts location in sandwich structures using free vibration analysis and tuned machine-learning algorithms. Arab J Sci Eng 1–14
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prediction of thermo-hydraulic properties of flow in an innovative plate heat exchanger using machine learning algorithms;Physica Scripta;2024-09-04
2. Deep Learning and Machine Learning Based Highly Accurate Prediction of Reflection for Multi Layers Anti-Reflection Coatings;2024-08-22
3. Tomato ripeness detection based on image recognition;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13
4. VoteDroid: a new ensemble voting classifier for malware detection based on fine-tuned deep learning models;Multimedia Tools and Applications;2024-05-18
5. ALBERT4Spam: A Novel Approach for Spam Detection on Social Networks;Bilişim Teknolojileri Dergisi;2024-04-30
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3