Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Zamil S. Alzamil"'
1
Akademický článek
Internet of Things Based Weekly Crop Pest Prediction by Using Deep Neural Network
Autor: Rana Muhammad Saleem, Rab Nawaz Bashir, Muhammad Faheem, Mohd Anul Haq, Ahmed Alhussen, Zamil S. Alzamil, Shakir Khan
Publikováno v: IEEE Access, Vol 11, Pp 85900-85913 (2023)
Internet of Things (IoT) assisted application in agriculture shows tremendous success to improve productivity in agriculture. Agriculture is grappling with issues such as depleted soil fertility, climate-related hazards like intensified pest attacks
Externí odkaz: https://doaj.org/article/32eacd13674d4ad7b41e720a1d396df9
Zobrazit plný text záznamu
7
Target Object Detection from Unmanned Aerial Vehicle (UAV) Images Based on Improved YOLO Algorithm
Autor: Arunnehru Jawaharlalnehru, Thalapathiraj Sambandham, Vaijayanthi Sekar, Dhanasekar Ravikumar, Vijayaraja Loganathan, Raju Kannadasan, Arfat Ahmad Khan, Chitapong Wechtaisong, Mohd Anul Haq, Ahmed Alhussen, Zamil S. Alzamil
Publikováno v: Electronics; Volume 11; Issue 15; Pages: 2343
Aerial image-based target object detection has several glitches such as low accuracy in multi-scale target detection locations, slow detection, missed targets, and misprediction of targets. To solve this problem, this paper proposes an improved You O
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41322c32ab0854b511e3478699f32b59
Zobrazit plný text záznamu
8
Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery
Autor: Chandra Shekhar Yadav, Monoj Kumar Pradhan, Syam Machinathu Parambil Gangadharan, Jitendra Kumar Chaudhary, Jagendra Singh, Arfat Ahmad Khan, Mohd Anul Haq, Ahmed Alhussen, Chitapong Wechtaisong, Hazra Imran, Zamil S. Alzamil, Himansu Sekhar Pattanayak
Publikováno v: Electronics; Volume 11; Issue 17; Pages: 2799
An accurate identification of objects from the acquisition system depends on the clear segmentation and classification of remote sensing images. With the limited financial resources and the high intra-class variations, the earlier proposed algorithms
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f46fa8842fda1c96ba5f8138f20ffd50
https://doi.org/10.3390/electronics11172799
Zobrazit plný text záznamu
9
A Review on Deep Learning Techniques for IoT Data
Autor: Kuruva Lakshmanna, Rajesh Kaluri, Nagaraja Gundluru, Zamil S. Alzamil, Dharmendra Singh Rajput, Arfat Ahmad Khan, Mohd Anul Haq, Ahmed Alhussen
Publikováno v: Electronics. 11:1604
Continuous growth in software, hardware and internet technology has enabled the growth of internet-based sensor tools that provide physical world observations and data measurement. The Internet of Things(IoT) is made up of billions of smart things th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d9bd1f7471e0458384214ed4b64c5cf
https://doi.org/10.3390/electronics11101604
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje