Zobrazeno 1 - 10
of 2 545
pro vyhledávání: '"AlexNet"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Emotions play a vital role in recognizing a person’s thoughts and vary significantly with stress levels. Emotion and stress classification have gained considerable attention in robotics and artificial intelligence applications. While numer
Externí odkaz:
https://doaj.org/article/b79b6e8ac8814a8694797071555aa7ea
Autor:
Chandrasekaran Raja, Santhosh Krishna B V, Balaji Loganathan, Sanjay Kumar Suman, L. Bhagyalakshmi, Mubarak Alrashoud, Jayant Giri, T. Sathish
Publikováno v:
Automatika, Vol 65, Iss 4, Pp 1593-1605 (2024)
This work modifies the architecture of conventional CNN with the integration of Multi-resolution Analysis (MRA) in a CNN framework for Diabetic Retinopathy (DR) diagnosis and grading. Here, the HF sub-bands are subjected to optimized activations and
Externí odkaz:
https://doaj.org/article/f6c7f939f119483ba7a026ce51e7be70
Autor:
Rohit Shrestha, Zhang Zhihou
Publikováno v:
Discover Geoscience, Vol 2, Iss 1, Pp 1-20 (2024)
Abstract The effectiveness of ground penetrating radar (GPR) in identifying and categorizing diseases that occur underground beneath the surfaces of urban roads is investigated in this study. Both 2D and 3D forward modeling use simulation with the Gp
Externí odkaz:
https://doaj.org/article/73ad61be1e6c41d8907f6b035aa5a396
Autor:
Padmavathi Lambu, Rajesh Duvvuru
Publikováno v:
Ecological Engineering & Environmental Technology, Vol 25, Iss 10, Pp 236-257 (2024)
Climate change has had a significant impact on natural disasters, particularly floods, in recent times. Early warning systems play an important role in river flood prediction. However, cloudbursts trigger urban flash floods, causing significant disru
Externí odkaz:
https://doaj.org/article/840496ac6c0b49f194097ed633888f93
Autor:
K. R. Kalphana, S. Aanjankumar, M. Surya, M. S. Ramadevi, K. R. Ramela, T Anitha, N. Nagaprasad, Ramaswamy Krishnaraj
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract In recent times, the number of malware on Android mobile phones has been growing, and a new kind of malware is Android ransomware. This research aims to address the emerging concerns about Android ransomware in the mobile sector. Previous st
Externí odkaz:
https://doaj.org/article/61a32008e85c45d4add14571712ffbf8
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 5, pp. 1171-1184.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-08-2023-0426
Publikováno v:
Journal of Bone Oncology, Vol 48, Iss , Pp 100626- (2024)
Objective: Bone tumors, known for their infrequent occurrence and diverse imaging characteristics, require precise differentiation into benign and malignant categories. Existing diagnostic approaches heavily depend on the laborious and variable manua
Externí odkaz:
https://doaj.org/article/60249f5acdd44c958f9cd040bfbb54a7
Publikováno v:
Journal of Bone Oncology, Vol 48, Iss , Pp 100629- (2024)
Objective: This study aims to explore the application of radiographic imaging and image recognition algorithms, particularly AlexNet and ResNet, in classifying malignancies for spinal bone tumors. Methods: We selected a cohort of 580 patients diagnos
Externí odkaz:
https://doaj.org/article/5bc9ba159e8443dda2c474cfb6429dc0
Autor:
Avazov Kuldashboy, Sabina Umirzakova, Sharofiddin Allaberdiev, Rashid Nasimov, Akmalbek Abdusalomov, Young Im Cho
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34376- (2024)
This paper introduces an innovative image classification technique utilizing knowledge distillation, tailored for a lightweight model structure. The core of the approach is a modified version of the AlexNet architecture, enhanced with depthwise-separ
Externí odkaz:
https://doaj.org/article/2548697331ad46878724dfac786a830c
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e33555- (2024)
Aiming at the problems that the traditional image recognition technology is challenging to extract useful features and the recognition time is extended; the AlexNet model is improved to improve the effect of image classification and recognition. This
Externí odkaz:
https://doaj.org/article/f6b45e5846e84121abc4234187532d0e