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Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
INFORMATION PROCESSING IN AGRICULTURE, Vol. 12, No. 1, Ocak 2025, s. 14, ISSN: 2214-3173
FAROU BRAHİM,SERİDİ HAMİD,BOUACİDA IMANE,DJAKHDJAKHA LYNDA,KURULAY MUHAMMED
DeepEMPR: coffee leaf disease detection with deep learning and enhanced multivariance product representation
PeerJ Computer Science, Vol. 10, Kasım 2024, ISSN: 2376-5992
TOPAL AHMET,TUNGA BURCU,TIRKOLAEE ERFAN BABAEE
Ahmet Topal Özgün Makale
DeepEMPR: coffee leaf disease detection with deep learning and enhanced multivariance product representation
PeerJ Computer Science, Vol. 10, Kasım 2024, ISSN: 2376-5992
TOPAL AHMET,TUNGA BURCU,TIRKOLAEE ERFAN BABAEE
Burcu Tunga Özgün Makale
Designing peptides that can bind to glial fibrillary acidic protein to be used in early detection of alzheimer's disease
Fen Bilimleri Enstitüsü, İstanbul Medipol Üniversitesi, 2024
MOSLEM KARROUM
Sefer Baday Tez Yüksek Lisans Tamamlandı
Integrating path planning and image processing with UAVs for disease detection and yield estimation in indoor agriculture
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ONAT ERDOĞMUŞ
Erdinç Altuğ Tez Yüksek Lisans Tamamlandı
Evolutionary feature optimization for plant leaf disease detection by deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
JALAL SADOON HAMEED AL BAYATI
Burak Berk Üstündağ Tez Doktora Tamamlandı
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
MEDICAL IMAGE ANALYSIS, Vol. 17, No. 8, Aralık 2013, s. 859-876, ISSN: 1361-8415
KİRİSLİ H. A.,SCHAAP M.,METZ C. T.,DHARAMPAL A. S.,MEİJBOOM W. B.,PAPADOPOULOU S. L.,DEDİC A.,NİEMAN K.,DE GRAAF M. A.,MEİJS M. F. L.,CRAMER M. J.,BROERSEN A.,CETİN SUHEYLA,ESLAMİ A.,FLOREZ-VALENCİA L.,LOR K. L.,MATUSZEWSKİ B.,MELKİ I.,MOHR B.,ÖKSÜZ İLKAY,SHAHZAD R.,WANG C.,KİTSLAAR P. H.,KATOUZİAN A.,ORKİSZ M.,CHEN C. M.,PRECİOSO F.,NAJMAN L.,MASOOD S.,L. VAN VLİET,MORENO R.,GOLDENBERG R.,VUCİNİ E.,KRESTİN G. P.,NİESSEN W. J.,VAN WALSUM T.
Detection of Chronic Obstructive Pulmonary Disease Risk Level with Fuzzy Expert System Approach
International Academic Conference on Engineering, Internet and Technology, 12 Aralık 2014
GÜNEY BAHA, TAŞ MEHMET, TEKE ÇAĞATAY, NALBANT ÖZGE GİZEM
Mehmet Taş Tam metin bildiri
Disease detection on the leaves of the tomato plants by using deep learning
Agro-Geoinformatics, 2017, Fairfax/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Ağustos 2017, s. 1-1
DURMUŞ HALİL,GÜNEŞ ECE OLCAY,KIRCI MÜRVET
Mürvet Kırcı Tam metin bildiri
Decision of sensor location and best classification method for entrail and muscle disease detection in healthcare smart clothing based on acceleration measurements
Transactions of the Institute of Measurement and Control, Vol. 37, No. 8, Eylül 2014, s. 999-1008, ISSN: 0142-3312
KURŞUN BAHADIR SENEM
Senem Kurşun Özgün Makale
Disease detection on the leaves of the tomato plants by using deep learning
Agro-Geoinformatics, 2017, Fairfax/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Ağustos 2017, s. 1-1
DURMUŞ HALİL,GÜNEŞ ECE OLCAY,KIRCI MÜRVET
Ece Olcay Güneş Tam metin bildiri
Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN
ELECO 2021 13th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING 25-27 November 2021, Bursa, Turkey, Bursa/TÜRKİYE, 25 Kasım 2021
KAPUCUOĞLU KÖKSAL, KIRCI MÜRVET
Mürvet Kırcı Tam metin bildiri
Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
Information Processing in Agriculture, Mart 2024, ISSN: 2214-3173
SERİDİ HAMİD,FAROU BRAHİM,KURULAY MUHAMMED,LYNDA DJAKHDJAKHA,BOUACİDA IMANE
Muhammed Kurulay Özgün Makale
Microfluidic point-of-care testing for the detection of Bordetella pertussis: A mini-review
Diagnostic Microbiology and Infectious Disease, Vol. 109, No. 2, Mart 2024, ISSN: 0732-8893
YILMAZ ÇOLAK ÇİĞDEM
Çiğdem Yılmaz Çolak Derleme Makale
AI-Driven Detection of Parkinson’s Disease through Vocal Feature Optimization
IV. International Artificial Intelligence in Health Congress, 15 Kasım 2024
ÖZBİLEN MAHMUT LÜTFULLAH,ÖZEN FEYZA,KINDAP AYÇA ŞİRİN,GÜNDÜZ HAKAN,HALEPMOLLASI RUŞEN,HAKLIDIR MEHMET
Evolutionary Feature Optimization for Plant Leaf Disease Detection by Deep Neural Networks
International Journal of Computational Intelligence Systems, Vol. 13, No. 1, Ocak 2020, s. 12-23, ISSN: 1875-6891
AL-BAYATİ JALAL SADOON HAMEED, ÜSTÜNDAĞ BURAK BERK
Burak Berk Üstündağ Özgün Makale

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