Zobrazeno 1 - 10
of 295
pro vyhledávání: '"ML algorithms"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract One of the critical issues in medical data analysis is accurately predicting a patient’s risk of heart disease, which is vital for early intervention and reducing mortality rates. Early detection allows for timely treatment and continuous
Externí odkaz:
https://doaj.org/article/96c96575899c4fb1997490031b577df1
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-22 (2024)
Abstract The oil and gas industry relies on accurately predicting profitable clusters in subsurface formations for geophysical reservoir analysis. It is challenging to predict payable clusters in complicated geological settings like the Lower Indus B
Externí odkaz:
https://doaj.org/article/24237ae4abd340faae227621d9f33775
Publikováno v:
Agricultural Science and Technology, Vol 16, Iss 2, Pp 3-16 (2024)
Abstract. Plantation mapping plays a vital role in agriculture, forestry, and land management. The integration of Artificial intelligence and Machine learning techniques with high-resolution satellite data has revolutionized the accuracy and efficien
Externí odkaz:
https://doaj.org/article/152b64da5506438a9a336d8da92a3668
Autor:
Murali Krishna Gumma, Ramavenkata Mahesh Nukala, Pranay Panjala, Pavan Kumar Bellam, Snigdha Gajjala, Sunil Kumar Dubey, Vinay Kumar Sehgal, Ismail Mohammed, Kumara Charyulu Deevi
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 786-802 (2024)
This study underscores the critical importance of accurate crop yield information for national food security and export considerations, with a specific focus on wheat yield estimation at the Gram Panchayat (GP) level in Bareilly district, Uttar Prade
Externí odkaz:
https://doaj.org/article/307026d238914e238aef37efc75c87bf
Neuromarketing algorithms’ consumer privacy and ethical considerations: challenges and opportunities
Publikováno v:
Cogent Business & Management, Vol 11, Iss 1 (2024)
AbstractThis research investigates the ethical and privacy issues arising from using AI andML in neuromarketing, framed by rule utilitarianism. It assesses the impact of these technologies on consumerprivacy and human rights through a combination of
Externí odkaz:
https://doaj.org/article/92ead178d3e748a18b8236eefbfd20ed
Autor:
Mauro Pettorruso, Giorgio Di Lorenzo, Beatrice Benatti, Giacomo d’Andrea, Clara Cavallotto, Rosalba Carullo, Gianluca Mancusi, Ornella Di Marco, Giovanna Mammarella, Antonio D’Attilio, Elisabetta Barlocci, Ilenia Rosa, Alessio Cocco, Lorenzo Pio Padula, Giovanna Bubbico, Mauro Gianni Perrucci, Roberto Guidotti, Antea D’Andrea, Laura Marzetti, Francesca Zoratto, Bernardo Maria Dell’Osso, Giovanni Martinotti
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
Treatment-Resistant Depression (TRD) poses a substantial health and economic challenge, persisting as a major concern despite decades of extensive research into novel treatment modalities. The considerable heterogeneity in TRD’s clinical manifestat
Externí odkaz:
https://doaj.org/article/ab6859736bd64b07a064f3541278c835
Autor:
J Robert Theivadas, Suresh Ponnan
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101186- (2024)
In an era where autonomous vehicles are on the horizon, the importance of human vigilance during driving cannot be understated. One of the paramount challenges road safety advocates face is driver fatigue, a silent culprit behind many tragic accident
Externí odkaz:
https://doaj.org/article/b6ab8a249db54bf28022b00948fc65c6
Autor:
Akram Ghaffari
Publikováno v:
Technology in Agronomy, Vol 4, Iss 1, Pp 1-12 (2024)
Original and pure seeds are the most important factors for sustainable agricultural production, development, and food security. Conventionally, seed protection and certification programs are carried out on several classes from breeders to certify see
Externí odkaz:
https://doaj.org/article/ae7b147a32e84f64b2448e03b5f83db7
Autor:
Hosam F. El-Sofany
Publikováno v:
IEEE Access, Vol 12, Pp 106146-106160 (2024)
Heart disease (HD), including heart attacks, is a primary cause of death across the world. In the area of medical data analysis, one of the most difficult problems to solve is determining the probability of a patient having heart disease. Death rates
Externí odkaz:
https://doaj.org/article/221a991ae22a43d0ba5522dd30304194
Publikováno v:
Sensors, Vol 24, Iss 19, p 6177 (2024)
This study develops a hybrid machine learning (ML) algorithm integrated with IoT technology to improve the accuracy and efficiency of soil monitoring and tomato crop disease prediction in Anakapalle, a south Indian station. An IoT device collected on
Externí odkaz:
https://doaj.org/article/a8161c57eb024ec597d838fd4b1a9f62