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Autor:
Bruno Sotto-Mayor, Meir Kalech
Publikováno v:
IEEE Access, Vol 12, Pp 93398-93425 (2024)
Software defect prediction involves predicting which components in a software program, like classes or functions, are likely to have defects, based on metrics that describe those components. Cross-project defect prediction is a type of defect predict
Externí odkaz:
https://doaj.org/article/457beb235f6b405eb4d7082d5ac13ec3
Publikováno v:
IEEE Access, Vol 12, Pp 88939-88949 (2024)
The deterioration of power generation facilities built during the early stages of plant operation is becoming increasingly severe, raising concerns about potential socioeconomic harm from pipe leaks. Consequently, there is a pressing need for rapid l
Externí odkaz:
https://doaj.org/article/13565a3297e7493a9b0c2723e9ad746f
Autor:
Peijun Zhao, Moises Alencastre-Miranda, Zhan Shen, Ciaran O'Neill, David Whiteman, Javier Gervas-Arruga, Hermano Igo Krebs
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2336-2345 (2024)
Assessing the motor impairments of individuals with neurological disorders holds significant importance in clinical practice. Currently, these clinical assessments are time-intensive and depend on qualitative scales administered by trained healthcare
Externí odkaz:
https://doaj.org/article/03c084e5140e420796fe81bd5176abd6
Autor:
Salini Sasidharan Nair, Mohan Subaji
Publikováno v:
IEEE Access, Vol 12, Pp 87560-87578 (2024)
Breast cancer, a global health concern, requires innovative diagnostic approaches. The potential of Artificial Intelligence and Machine Learning in breast cancer diagnosis warrants exploration along with conventional methods. Our method partitions br
Externí odkaz:
https://doaj.org/article/30d7f55b0e6845cd847a08ec1ebacbc9
Publikováno v:
IEEE Access, Vol 12, Pp 86073-86082 (2024)
EEG is a test that helps in the clinical diagnosis of epilepsy. Epilepsy diagnosis is facilitated by establishing the presence of interictal epileptiform abnormalities on EEG, which predict an increased risk of seizure. The identification of interict
Externí odkaz:
https://doaj.org/article/e90acf627903434786153a3a73c9c670
Publikováno v:
IEEE Access, Vol 12, Pp 86378-86390 (2024)
Blueberry fruit in the picking process are characterized by small fruit particles, similar color characteristics of immature fruits to leaf, and not obvious characteristics of fruits obscured by leaves, which lead to low real-time detection accuracy
Externí odkaz:
https://doaj.org/article/1348c450e6e84ac39bfc28b5017fa9e7
Publikováno v:
IEEE Access, Vol 12, Pp 85929-85939 (2024)
Brain tumors pose a significant threat, especially when not detected early. The Inception v3 machine learning model has found extensive applications in computer vision and related fields. This study aims to develop a robust transfer learning model fo
Externí odkaz:
https://doaj.org/article/4f1eb6d3136a4a498138754cf892ef4c
Autor:
Mazin Abed Mohammed, Abdullah Lakhan, Karrar Hameed Abdulkareem, Nouf Abdullah Almujally, Bourair AL-Attar, Sajida Memon, Haydar Abdulameer Marhoon, Radek Martinek
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11219-11229 (2024)
These days, the disease among different plants has been increasing day by day. It is a very hard task for government institutions and farmers to collect data on plant diseases from different distributed lands among regions. Therefore, data collection
Externí odkaz:
https://doaj.org/article/11f0a38ca75c4c848e2b2ec075c4e097
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10674-10689 (2024)
Deep learning methodologies have demonstrated considerable effectiveness in hyperspectral anomaly detection (HAD). However, the practicality of deep learning-based HAD in real-world applications is impeded by challenges arising from limited labeled d
Externí odkaz:
https://doaj.org/article/45e1fe0ba2c24fec95c01948b6e4a6f6
Autor:
Israa Y. Abushawish, Sudipta Modak, Esam Abdel-Raheem, Soliman A. Mahmoud, Abir Jaafar Hussain
Publikováno v:
IEEE Access, Vol 12, Pp 84785-84802 (2024)
Diabetic Retinopathy is one of the leading global causes of vision impairment and blindness in humans. It has seen a rise in prevalence, necessitating the development of advanced automatic detection methods. This paper presents a survey of the evolut
Externí odkaz:
https://doaj.org/article/4b7285f79326406faf4ef913f4941c11