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1
Effect of dietary supplementation of vitamin E and selenium on the growth, hemato-biochemical and endocrine profile of grower Ghungroo pigs

von RUBAYAT HUSSAIN ; T SAMUI ; JOYCY SEIBA KHUKHODZIINAI ; et al.

Indian Journal of Animal Sciences, Vol 95, Iss 6 (2025)

Schlagworte: Biochemical profile, Endocrine profile, Ghungroo pig, Hematology, Selenium, Vitamin E; Animal culture; SF1-1100
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2
Integrated Ensemble Learning for Enhanced Accuracy in Satellite-Derived Bathymetry of Shallow Coastal Zones

von Elnabwy, Mohamed T. ; Kaloop, Mosbeh R. ; Ahmad, Furquan ; et al.

Journal of the Indian Society of Remote Sensing. 54(1):289-306
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3
EFFECT OF DIETARY SUPPLEMENTATION OF VITAMIN E AND SELENIUM ON TOTAL ANTIOXIDANT STATUS AND IN VITRO IMMUNE COMPETENCE IN GROWER GHUNGROO PIGS

von Rubayat Hussain ; T. Samui ; Joycy Seiba Khukhodziinai ; et al.

Exploratory Animal and Medical Research, Vol 14, Iss 2, Pp 205-209 (2024)

Schlagworte: ghungroo; antioxidant status; lymphocyte proliferation response; phagocytic activity of neutrophils; vitamin e; selenium; Veterinary medicine; SF600-1100
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4
Identifying the pollution sources of River Yamuna through field observations and participatory approach

von Samui, Sayantan ; Mallik, Arkadip ; Kumar, Dinesh ; et al.

Journal of Earth System Science: Published by the Indian Academy of Sciences. 134(1)
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5
Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm

von Asteris, Panagiotis G. ; Gavriilaki, Eleni ; Kampaktsis, Polydoros N. ; et al.

In International Journal of Cardiology 1 October 2024 412
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6
Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm

von Asteris, Panagiotis G. ; Gandomi, Amir H. ; Armaghani, Danial J. ; et al.

In European Journal of Internal Medicine July 2024 125:67-73
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7
Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report

von Bendavid, J. ; Caola, F. ; Ciulli, V. ; et al.

Schlagworte: High Energy Physics - Phenomenology
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8
Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices

von Asteris, Panagiotis G. ; Kokoris, Styliani ; Gavriilaki, Eleni ; et al.

In Clinical Immunology January 2023 246
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9
A novel approach to estimate rock deformation under uniaxial compression using a machine learning technique

von T., Pradeep ; kumar, Divesh Ranjan ; Kumar, Manish ; et al.

Bulletin of Engineering Geology and the Environment: The official journal of the IAEG. 83(7)
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10
Modelling the 21 cm Signal From the Epoch of Reionization and Cosmic Dawn

von Choudhury, T. Roy ; Datta, Kanan ; Majumdar, Suman ; et al.

Schlagworte: Astrophysics - Cosmology and Nongalactic Astrophysics
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11
A Direct Approach to Optimal Feeder Routing for Radial Distribution System

von Samui, A. ; Singh, S. ; Ghose, T. ; et al.

IEEE Transactions on Power Delivery IEEE Trans. Power Delivery Power Delivery, IEEE Transactions on. 27(1):253-260 Jan, 2012
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12
Reliability and Prediction of Embedment Depth of Sheet pile Walls Using Hybrid ANN with Optimization Techniques

von Pradeep, T. ; GuhaRay, Anasua ; Bardhan, Abidhan ; et al.

Arabian Journal for Science and Engineering. 47(10):12853-12871
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13
Prediction of Rock Strain Using Hybrid Approach of Ann and Optimization Algorithms

von Pradeep, T. ; Samui, Pijush

Geotechnical and Geological Engineering: An International Journal. 40(9):4617-4643
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14
Ensemble unit and AI techniques for prediction of rock strain

von Pradeep, T. ; Samui, Pijush ; Kardani, Navid ; et al.

Frontiers of Structural and Civil Engineering. 16(7):858-870
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15
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16
Herschel-ATLAS: blazars in the SDP field

von González-Nuevo, J. ; De Zotti, G. ; Andreani, P. ; et al.

Schlagworte: Astrophysics - Cosmology and Nongalactic Astrophysics
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17
Prediction of rock strain using soft computing framework

von Pradeep, T. ; Bardhan, Abidhan ; Samui, Pijush

Innovative Infrastructure Solutions. 7(1)
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18
Application of novel deep neural network on prediction of compressive strength of fly ash based concrete.

von Biswas, Rahul ; Kumar, Manish ; Kumar, Divesh Ranjan ; et al.

Nondestructive Testing & Evaluation; Oct2025, Vol. 40 Issue 10, p4638-4668, 31p

Schlagworte: Compressive strength; High strength concrete; Prediction models; Concrete; Artificial intelligence; Green technology; Concrete mixing; Artificial neural networks
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19
An approach based on socio-politically optimized neural computing network for predicting shallow landslide susceptibility at tropical areas

von Nhu, Viet-Ha ; Hoang, Nhat-Duc ; Amiri, Mahdis ; et al.

Environmental Earth Sciences. 80(7)
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20
Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms

von T. Pradeep ; Abidhan Bardhan ; Avijit Burman ; et al.

Infrastructures, Vol 6, Iss 9, p 129 (2021)

Schlagworte: rock strain; deep neural network; particle swarm optimization; ANFIS; rank analysis; Technology
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21
Application of Soft Computing Techniques to Expansive Soil Characterization

von Samui, Pijush ; Das, Sarat Kumar ; Sitharam, T. G. ; et al.

Intelligent and Soft Computing in Infrastructure Systems Engineering : Recent Advances. 259:305-323
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22
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23
Machine learning modelling for predicting soil liquefaction susceptibility

von P. Samui ; T. G. Sitharam

Natural Hazards and Earth System Sciences, Vol 11, Iss 1, Pp 1-9 (2011)

Schlagworte: Environmental technology. Sanitary engineering; TD1-1066; Geography. Anthropology. Recreation; Environmental sciences; GE1-350; Geology; QE1-996.5
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24
Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report

von J. Bendavid ; F. Caola ; V. Ciulli ; et al.

Schlagworte: High Energy Physics - Phenomenology
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25
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