Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Alkattan, Hussein"'
Autor:
Yousif Mohammed Sahar, Aljanabi Mohammad, Mijwil Maad M., Ramadhan Ali J., Abotaleb Mostafa, Alkattan Hussein, Albadran Zainalabideen
Publikováno v:
BIO Web of Conferences, Vol 97, p 00059 (2024)
The goal of phishing assaults is to trick users into giving up personal information by making them believe they need to act quickly on critical information. The creation of efficient solutions, such as phishing attack detection systems backed by AI,
Externí odkaz:
https://doaj.org/article/702b355b0b1140509fb25a197c9ee60c
Autor:
Ramadhan Ali J., Bohra Diksha, Supriya, Bhooshan Srivastava Aditya, Kumar Prateek, Gautam Sandeep, Suman, Lal Priyanka, Abotaleb Mostafa, Alkattan Hussein
Publikováno v:
BIO Web of Conferences, Vol 97, p 00132 (2024)
The paper attempts to analyze fish production and the direction of trade. Data for the analysis was taken from a period of 10 years (2011- 2021) from the Ministry of Commerce & Industry and FAO. To examine the type and extent of increase in the fish
Externí odkaz:
https://doaj.org/article/6e075d6c29134b3fb90941f272acefff
Autor:
Ramadhan Ali J., Biswas Tufleuddin, Ray Soumik, Anjanawe S. R., Rawat Deepa, Kumari Binita, Yadav Shikha, Mishra Pradeep, Abotaleb Mostafa, Alkattan Hussein, Albadran Zainalabideen
Publikováno v:
BIO Web of Conferences, Vol 97, p 00113 (2024)
The study aimed to compare ARIMA and Holt's models for predicting coconut metrics in Kerala. The coconut data series was collected from the period 1957 to 2019. Of this, 80% of the data (from 1957 to 2007) is treated as training data, and the rest (2
Externí odkaz:
https://doaj.org/article/8654b13d0353484d891b5bf1815f65e4
Autor:
Ramadhan Ali J., Yadav Shikha, Anand Subhash, Pratap Singh Aditya, Atta Kousik, Abotaleb Mostafa, Alkattan Hussein, Albadran Zainalabideen
Publikováno v:
BIO Web of Conferences, Vol 97, p 00124 (2024)
Delhi's Yamuna River serves as a notable illustration of an ecologically compromised system that has undergone a transition into a conduit for sewage due to pervasive pollution and escalating anthropogenic influences. Delhi, being the primary contrib
Externí odkaz:
https://doaj.org/article/962977cdae10415a87bb66f0a2a6e791
Autor:
Ramadhan Ali J., Priya S. R. Krishna, Naranammal N., Suman, Lal Priyanka, Mishra Pradeep, Abotaleb Mostafa, Alkattan Hussein
Publikováno v:
BIO Web of Conferences, Vol 97, p 00130 (2024)
Agriculture is the backbone of Indian Economy. Proper forecast of food crops and cash crops are necessary for the government in policy making decisions. The present paper aims to forecast Wheat and Sugarcane yield using Random Forest Regression. For
Externí odkaz:
https://doaj.org/article/921293146efc4cdb89394c34eec50785
Autor:
Ramadhan Ali J., Krishna Priya S. R., Keerti Balambiga R., Othman Ali J., Yadav Shikha, Mishra Pradeep, Abotaleb Mostafa, Alkattan Hussein, Albadran Zainalabideen
Publikováno v:
BIO Web of Conferences, Vol 97, p 00064 (2024)
The present study aims to develop yield forecast models for the Sugarcane crop of the Coimbatore district in Tamilnadu using two different techniques namely Variables and Months in Discriminant function analysis. For this, the Sugarcane yield data fo
Externí odkaz:
https://doaj.org/article/d8ff36963e974d79bfd038e55df64d2b
Autor:
Ramadhan Ali J., Arun Kumar Bhukya, Bala Indu, Mijwil Maad M., Abotaleb Mostafa, Alkattan Hussein, Albadran Zainalabideen
Publikováno v:
BIO Web of Conferences, Vol 97, p 00154 (2024)
Through the use of smart sensors to monitor and regulate plant conditions, smart home gardening management systems can maximize resource utilisation and minimize human intervention. This study offers a new system that remotely controls the water supp
Externí odkaz:
https://doaj.org/article/34b69299210942d38d75d111c621dda4
Autor:
Ramadhan Ali J., Kumar Tiwari Ankit, Kumar Birendra, Supriya, Mishra Harshit, Gautam Sandeep, Gautam Rajani, Abotaleb Mostafa, Alkattan Hussein
Publikováno v:
BIO Web of Conferences, Vol 97, p 00134 (2024)
This study offers a detailed comparative analysis of maize crop cultivation in the kharif and rabi seasons within the agricultural landscape of Gonda District. 50 respondents were carefully selected from various villages in the block, with proportion
Externí odkaz:
https://doaj.org/article/12d67469d39d429885671401363d0963
Autor:
Ramadhan Ali J., Krishna Priya S. R., Razzaq Abbas Noor, Kausalya N., Yadav Shikha, Mishra Pradeep, Abotaleb Mostafa, Alkattan Hussein
Publikováno v:
BIO Web of Conferences, Vol 97, p 00142 (2024)
Sugarcane is the primary agricultural industry that sustains and promotes economic growth in India. In 2018, the majority of India's sugarcane production, specifically 79.9%, was allocated for the manufacturing of white sugar. A smaller portion, 11.2
Externí odkaz:
https://doaj.org/article/608392e9deb3497eac68f5f92eadda22
Autor:
Ramadhan Ali J., Ray Soumik, Abotaleb Mostafa, Alkattan Hussein, Tiwari Garima, Rawat Deepa, Mishra Pradeep, Yadav Shikha, Tiwari Pushpika, Adebayo Adelaja Oluwaseun, Albadran Zainalabideen
Publikováno v:
BIO Web of Conferences, Vol 97, p 00126 (2024)
To model and forecast complex time series data, machine learning has become a major field. This machine learning study examined Moscow rainfall data's future performance. The dataset is split into 65% training and 35% test sets to build and validate
Externí odkaz:
https://doaj.org/article/a0f379b631e6493dab2ab97dac04bf77