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Crop Yield Prediction Using Deep Reinforcement Learning Model for Sustainable Agrarian Applications

IEEE access, 2020, Vol.8, p.86886-86901

2020

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Effects of temperature on the behaviour and metabolism of an intertidal foraminifera and consequences for benthic ecosystem functioning

Scientific reports, 2021-02, Vol.11 (1), p.4013-14, Article 4013

2021

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Fuzzy deep learning-based crop yield prediction model for sustainable agronomical frameworks

Neural computing & applications, 2021-10, Vol.33 (20), p.13205-13224

2021

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Inter-specific and inter-individual trait variability matter in surface sediment reworking rates of intertidal benthic foraminifera

Marine biology, 2021-07, Vol.168 (7), Article 101

2021

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(2′-Oxo)alkylresorcinols restore dehydration tolerance in a knockout line of PpORS, a bryophyte-specific type III polyketide synthase in Physcomitrium (Physcomitrella) patens

Planta, 2022-06, Vol.255 (6), p.129-129, Article 129

2022

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IoT-Cloud-Based Smart Healthcare Monitoring System for Heart Disease Prediction via Deep Learning

Electronics (Basel), 2022-08, Vol.11 (15), p.2292

2022

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Low-Light Image Enhancement Based on Generative Adversarial Network

Frontiers in genetics, 2021-11, Vol.12, p.799777-799777

2021

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An Overview of Marine Non-Indigenous Species Found in Three Contrasting Biogeographic Metropolitan French Regions: Insights on Distribution, Origins and Pathways of Introduction

Diversity (Basel), 2023-01, Vol.15 (2), p.161

2023

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Single-celled bioturbators: benthic foraminifera mediate oxygen penetration and prokaryotic diversity in intertidal sediment

Biogeosciences, 2023-12, Vol.20 (23), p.4875-4891

2023

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The Ecological Quality Status Assessment of Marine and Transitional Ecosystems: New Methods and Perspectives for the Future

Water (Basel), 2023-08, Vol.15 (16), p.2864

2023

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Nanoparticle-Biological Interactions in a Marine Benthic Foraminifer

Scientific reports, 2019-12, Vol.9 (1), p.19441-10, Article 19441

2019

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A Hybrid CFS Filter and RF-RFE Wrapper-Based Feature Extraction for Enhanced Agricultural Crop Yield Prediction Modeling

Agriculture (Basel), 2020-09, Vol.10 (9), p.400

2020

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Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data

Computational and structural biotechnology journal, 2023-01, Vol.21, p.1651-1660

2023

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An Efficient Classification of Neonates Cry Using Extreme Gradient Boosting-Assisted Grouped-Support-Vector Network

Journal of healthcare engineering, 2021-11, Vol.2021, p.7517313-14

2021

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Domestic Sewage Outfall Severely Altered Environmental Conditions, Foraminiferal Communities, and Ecological Quality Statuses in Front of the Nearshore Beach of Cigarras (SE Brazil)

Water (Basel), 2023-02, Vol.15 (3), p.405

2023

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A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease

Computers in biology and medicine, 2022-02, Vol.141, p.105056-105056, Article 105056

2022

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Genome-wide analysis of the GDSL esterase/lipase family genes in Physcomitrium patens and the involvement of GELP31 in spore germination

Molecular genetics and genomics : MGG, 2023-09, Vol.298 (5), p.1155-1172

2023

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Biometric Authentication for Intelligent and Privacy-Preserving Healthcare Systems

Journal of healthcare engineering, 2022-03, Vol.2022, p.1789996-15

2022

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Benthic Foraminifera as Proxies of Paleoenvironmental Changes in the Sant’Elia-Foxi Canyon (Gulf of Cagliari, Italy, Western Tyrrhenian Sea)

Journal of marine science and engineering, 2024-01, Vol.12 (1), p.30

2024

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Benthic Foraminiferal Indices and Environmental Quality Assessment of Transitional Waters: A Review of Current Challenges and Future Research Perspectives

Water (Basel), 2021-07, Vol.13 (14), p.1898

2021

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Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks

Behavioural neurology, 2022, Vol.2022, p.6878783-12

2022

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Recent Advances in Evolving Computing Paradigms: Cloud, Edge, and Fog Technologies

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.196

2021

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Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions

Frontiers in genetics, 2020-12, Vol.11, p.603808-603808

2020

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Fast and Reliable Identification of Ammonia Phylotypes T1, T2 and T6 Using a Stereomicroscope: Implication for Large-Scale Ecological Surveys and Monitoring Programs

Water (Basel), 2021-12, Vol.13 (24), p.3563

2021

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An Efficient Ensemble VTOPES Multi-Criteria Decision-Making Model for Sustainable Sugarcane Farms

Sustainability, 2019-08, Vol.11 (16), p.4288

2019

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