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Inácio Henrique Yano

Observed names: HENRIQUE YANO, INACIO, I. H. Yano, INACIO HENRIQUE YANO, INÁCIO HENRIQUE YANO, INáCIO HENRIQUE YANO, Inacio H. Yano, Inacio Henrique Yano, Inacio Yano, Inácio H. Yano, Inácio Henrique YANO, Inácio Yano, Yano, Yano, Inacio, Yano, Inácio Henrique
Observed institutions: Universidade Estadual de Campinas (UNICAMP), Universidade Presbiteriana Mackenzie, Embrapa, São Paulo State Technological College, Centro Paula Souza, Embrapa Agricultura Digital, Pontifícia Universidade Católica de Campinas
ORCID: 0000-0003-2698-6309
Observed ORCID: 0000-0003-2698-6309
OpenAlex ID: A5012373443
Identification of weeds in sugarcane fields through images taken by UAV and Random Forest classifier
2016 · Inacio H. Yano, Jose R. Alves, et al. · IFAC-PapersOnLine · 59
Improving Predictions of Protein-Protein Interfaces by Combining Amino Acid-Specific Classifiers Based on Structural and Physicochemical Descriptors with Their Weighted Neighbor Averages
2014 · Fábio R. de Moraes, Izabella A. P. Neshich, et al. · PLoS ONE · 15
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Weed Identification in Sugarcane Plantation Through Images Taken from Remotely Piloted Aircraft (RPA) and kNN Classifier
2017 · Inacio Henrique Yano · Journal of Food and Nutrition Sciences · 14
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Protein allosteric site identification using machine learning and per amino acid residue reported internal protein nanoenvironment descriptors
2024 · Folorunsho Bright Omage, José Augusto Salim, et al. · Computational and Structural Biotechnology Journal · 13
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Computational Biology Tools for Identifying Specific Ligand Binding Residues for Novel Agrochemical and Drug Design
2015 · Izabella Pena Neshich, Leticia Nishimura, et al. · Current Protein and Peptide Science · 12
Predicting Battery Charge Depletion in Wireless Sensor Networks Using Received Signal Strength Indicator
2013 · Yano · Journal of Computer Science · 9
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STINGAllo: a web server for high-throughput prediction of allosteric site-forming residues using internal protein nanoenvironment descriptors
2025 · Folorunsho Bright Omage, José Augusto Salim, et al. · Briefings in Bioinformatics · 7
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Study of specific nanoenvironments containing α-helices in all-α and (α+β)+(α/β) proteins
2018 · Ivan Mazoni, Luiz César Borro, et al. · PLoS ONE · 7
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Wireless Sensor Networks for Measuring the Consumption of Save Water Taps
2014 · Yano · American Journal of Applied Sciences · 5
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Mapping Gaps in Sugarcane Fields in Unmanned Aerial Vehicle Imagery Using YOLOv5 and ImageJ
2024 · Inacio Henrique Yano, João Pedro Nascimento de Lima, et al. · Applied Sciences · 4
Storing data of sugarcane industry processes using blockchain technology.
2020 · I. H. Yano, Antonio de Castro, et al. · 4
Fortalecimento de marca empresarial por meio de práticas sustentáveis, marketing digital e tecnologia Blockchain
2023 · Inacio Henrique Yano, Alexandre de Castro, et al. · Revista de Gestão e Secretariado (Management and Administrative Professional Review) · 3
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Crop and Weed Identification in Sugarcane Fields Using Rgb Uav Imagery
2022 · Inacio Henrique Yano, Nelson Felipe Oliveros Mesa, et al. · Editora Científica Digital eBooks · 3
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Modelo de rastreamento bovino via Smart Contracts com tecnologia Blockchain.
2018 · I. H. Yano, E. H. dos Santos, et al. · infoteca-e (Brazilian Agricultural Research Corporation) · 3
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Applying a Hybrid Polling Approach by Software Implementation to Extend the Lifetime of a Wireless Sensor Network
2015 · Inácio Henrique Yano, Vitor Chaves de Oliveira, et al. · Journal of Computer Science · 3
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Using Structural and Physical–Chemical Parameters to Identify, Classify, and Predict Functional Districts in Proteins—The Role of Electrostatic Potential
2014 · Goran Neshich, Izabella Agostinho Pena Neshich, et al. · Springer eBooks · 3
Protein exosites as drug targets: from structural topology to therapeutic modality
2026 · Folorunsho Bright Omage, Ivan Mazoni, et al. · Drug Discovery Today · 2
Avaliação da técnica de blockchain na rastreabilidade na agroindústria a sucroenergética
2019 · FáBIO GUILHERME CANOVA E SILVA, FáBIO CESAR DA SILVA, et al. · Anais ... Encontro Nacional de Engenharia de Produção/Anais do Encontro Nacional de Engenharia de Produção · 2
Protein family membership governs exosite predictability across the structural proteome
2026 · Folorunsho Bright Omage, Ivan Mazoni, et al. · Artificial Intelligence in the Life Sciences · 1
MPLID: Membrane Protein-Lipid Interface Dataset
2026 · Omage, Folorunsho Bright, Mazoni, Ivan, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Inventory Management System Using Blockchain Technology
2025 · Inacio Yano · CONTECSI - International Conference on Information Systems and Technology Management · 1
Mapping of Weeds in Crops of Sugarcane by Images Obtained From an Unmanned Aerial Vehicle (uav)
2025 · Inacio Henrique Yano, Nelson Felipe Oliveros Mesa, et al. · Editora Científica Digital eBooks · 1
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SIBRAAR – Brazilian Agro-Traceability System
2025 · Inácio Henrique Yano, Alexandre de Castro, et al. · Editora Científica Digital eBooks · 1
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Multiple structure single parameter: analysis of a single protein nano environment descriptor characterizing a shared loci on structurally aligned proteins
2016 · José Augusto Salim, Luiz Borro, et al. · Bioinformatics · 1
Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions.
2016 · Luiz Borro, I. H. Yano, et al. · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 1
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Works count: 50
Citation count: 176
H-index: 7
I10-index: 5
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