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A decentralized framework for enhancing security in power systems through blockchain technology and trading system
A decentralized framework for enhancing security in power systems through blockchain technology and trading system
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A decentralized framework for enhancing security in power systems through blockchain technology and trading system

Thiruppathy Kesavan, V. ; Danalakshmi, D. ; Gopi, R. ; Venkatesan, R.

Energy sources. Part A, Recovery, utilization, and environmental effects, 2024-12, Vol.46 (1), p.3454-3475 [Periódico revisado por pares]

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Evaluation of seed dressing insecticides for the control of maize lethal necrosis vectors
Evaluation of seed dressing insecticides for the control of maize lethal necrosis vectors
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Evaluation of seed dressing insecticides for the control of maize lethal necrosis vectors

Regassa, Bayissa ; Abraham, Adane ; Fininsa, Chemeda ; Wolde-Hawariat, Yitbarek ; Wegary, Dagne

Cogent food & agriculture, 2024-12, Vol.10 (1) [Periódico revisado por pares]

Taylor & Francis Group

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Impact study on continuous overcharging of precycled lithium batteries and control algorithm development using machine learning approach
Impact study on continuous overcharging of precycled lithium batteries and control algorithm development using machine learning approach
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Impact study on continuous overcharging of precycled lithium batteries and control algorithm development using machine learning approach

G, Naresh ; Thangavelu, Praveenkumar

Energy sources. Part A, Recovery, utilization, and environmental effects, 2024-12, Vol.46 (1), p.3946-3963 [Periódico revisado por pares]

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4
Habitat suitability modeling of mosquito species in Faiyum Governorate, Egypt, using GIS
Habitat suitability modeling of mosquito species in Faiyum Governorate, Egypt, using GIS
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Habitat suitability modeling of mosquito species in Faiyum Governorate, Egypt, using GIS

El-Ela, Adel. Abdel Hakeem Abo ; Mostafa, Azza ; Ahmed, Eman Ali ; Nasser, Mohamed Gamal ElDin ; Al-Ashaal, Sara Ahmed ; Khalil, Abdelwahab

Beni-Suef University journal of basic and applied sciences, 2024-12, Vol.13 (1), p.35-13, Article 35 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Vibrio cholerae O1 Inhabit Intestines and Spleens of Fish in Aquaculture Ponds
Vibrio cholerae O1 Inhabit Intestines and Spleens of Fish in Aquaculture Ponds
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Vibrio cholerae O1 Inhabit Intestines and Spleens of Fish in Aquaculture Ponds

Ofek, Tamir ; Trabelcy, Beny ; Izhaki, Ido ; Halpern, Malka

Microbial ecology, 2024-12, Vol.87 (1), p.20-20, Article 20 [Periódico revisado por pares]

New York: Springer US

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6
Mosquito Microbiomes of Rwanda: Characterizing Mosquito Host and Microbial Communities in the Land of a Thousand Hills
Mosquito Microbiomes of Rwanda: Characterizing Mosquito Host and Microbial Communities in the Land of a Thousand Hills
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Mosquito Microbiomes of Rwanda: Characterizing Mosquito Host and Microbial Communities in the Land of a Thousand Hills

Tokash-Peters, Amanda G. ; Niyonzima, Jean Damascene ; Kayirangwa, Mirielle ; Muhayimana, Simon ; Tokash, Ivan W. ; Jabon, Jaimy D. ; Lopez, Sergio G. ; Kearns, Patrick J. ; Woodhams, Douglas C.

Microbial ecology, 2024-12, Vol.87 (1), p.64-64, Article 64 [Periódico revisado por pares]

New York: Springer US

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7
Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques
Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques
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Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques

Prakash, A. Jaya ; Begam, Sazeda ; Vilímek, Vít ; Mudi, Sujoy ; Das, Pulakesh

Geoenvironmental disasters, 2024-12, Vol.11 (1), p.14-15, Article 14 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Comparing machine learning algorithms to predict vegetation fire detections in Pakistan
Comparing machine learning algorithms to predict vegetation fire detections in Pakistan
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Comparing machine learning algorithms to predict vegetation fire detections in Pakistan

Shahzad, Fahad ; Mehmood, Kaleem ; Hussain, Khadim ; Haidar, Ijlal ; Anees, Shoaib Ahmad ; Muhammad, Sultan ; Ali, Jamshid ; Adnan, Muhammad ; Wang, Zhichao ; Feng, Zhongke

Fire ecology, 2024-12, Vol.20 (1), p.57, Article 57 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Spatio-temporal variability and possible source identification of criteria pollutants from Ahmedabad-a megacity of Western India
Spatio-temporal variability and possible source identification of criteria pollutants from Ahmedabad-a megacity of Western India
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Spatio-temporal variability and possible source identification of criteria pollutants from Ahmedabad-a megacity of Western India

Bano, Shahana ; Anand, Vrinda ; Kalbande, Ritesh ; Beig, Gufran ; Rathore, Devendra Singh

Journal of atmospheric chemistry, 2024-12, Vol.81 (1), p.1, Article 1 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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10
Fishery-dependent data revealing the spatio-temporal dynamics of under-monitored fisheries
Fishery-dependent data revealing the spatio-temporal dynamics of under-monitored fisheries
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Fishery-dependent data revealing the spatio-temporal dynamics of under-monitored fisheries

Ren, Jun ; Liu, Qun ; Zhang, Yunlei ; Ji, Yupeng ; Xu, Binduo ; Xue, Ying ; Zhang, Chongliang

Regional studies in marine science, 2024-12, Vol.76, p.103602, Article 103602 [Periódico revisado por pares]

Elsevier B.V

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