咨询与建议

限定检索结果

文献类型

  • 25 篇 期刊文献
  • 14 篇 会议

馆藏范围

  • 39 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 17 篇 工学
    • 12 篇 计算机科学与技术...
    • 9 篇 软件工程
    • 8 篇 生物医学工程(可授...
    • 8 篇 生物工程
    • 5 篇 光学工程
    • 4 篇 电气工程
    • 4 篇 电子科学与技术(可...
    • 3 篇 控制科学与工程
    • 2 篇 化学工程与技术
    • 2 篇 农业工程
    • 1 篇 机械工程
    • 1 篇 信息与通信工程
    • 1 篇 建筑学
    • 1 篇 土木工程
    • 1 篇 水利工程
    • 1 篇 轻工技术与工程
    • 1 篇 城乡规划学
  • 12 篇 理学
    • 8 篇 生物学
    • 4 篇 数学
    • 4 篇 物理学
    • 3 篇 系统科学
    • 2 篇 化学
    • 2 篇 统计学(可授理学、...
  • 6 篇 医学
    • 4 篇 基础医学(可授医学...
    • 4 篇 临床医学
    • 4 篇 公共卫生与预防医...
    • 4 篇 药学(可授医学、理...
  • 4 篇 管理学
    • 2 篇 公共管理
    • 2 篇 图书情报与档案管...
  • 3 篇 农学
    • 2 篇 作物学

主题

  • 2 篇 image segmentati...
  • 2 篇 machine learning
  • 2 篇 crowdsourcing
  • 1 篇 dtx
  • 1 篇 cognitive reappr...
  • 1 篇 crop insect dete...
  • 1 篇 wearable device
  • 1 篇 spondyloarthriti...
  • 1 篇 gait
  • 1 篇 smartphone-based...
  • 1 篇 crop pest classi...
  • 1 篇 deep learning
  • 1 篇 walking speed
  • 1 篇 facial expressio...
  • 1 篇 noise measuremen...
  • 1 篇 depression
  • 1 篇 self-assessment
  • 1 篇 patient
  • 1 篇 electroencephalo...
  • 1 篇 kinesthesia

机构

  • 5 篇 department artif...
  • 3 篇 department of co...
  • 3 篇 center for machi...
  • 3 篇 national enginee...
  • 2 篇 university of sc...
  • 2 篇 barcelona instit...
  • 2 篇 universidad pomp...
  • 2 篇 department of in...
  • 2 篇 center for mr re...
  • 2 篇 key lab of high ...
  • 2 篇 fraunhofer mevis...
  • 2 篇 beijing academy ...
  • 2 篇 unsw data scienc...
  • 2 篇 department of ra...
  • 2 篇 data science and...
  • 2 篇 institute of adv...
  • 2 篇 department of co...
  • 2 篇 centre for biome...
  • 2 篇 department of ps...
  • 2 篇 department of pa...

作者

  • 7 篇 bjoern m. eskofi...
  • 5 篇 robert richer
  • 4 篇 eskofier bjoern
  • 4 篇 srinivasulu redd...
  • 3 篇 arne küderle
  • 3 篇 zanca dario
  • 2 篇 kumar purushotta...
  • 2 篇 shoeibi afshin
  • 2 篇 bakas spyridon
  • 2 篇 silvia del din
  • 2 篇 heike leutheuser
  • 2 篇 walter maetzler
  • 2 篇 bernhard egger
  • 2 篇 clemens becker
  • 2 篇 gorriz juan m.
  • 2 篇 acharya u. rajen...
  • 2 篇 peter a. faschin...
  • 2 篇 purushottam kuma...
  • 2 篇 lars schwickert
  • 2 篇 anisoara parasch...

语言

  • 36 篇 英文
  • 3 篇 其他
检索条件"机构=Machine Intelligence and Data Analytics Lab"
39 条 记 录,以下是1-10 订阅
排序:
Noise filtering approach to improve handwritten digit recognition using customized CNN for Cerebral Palsy individuals
收藏 引用
The European Physical Journal Special Topics 2025年 1-19页
作者: Muthureka, K. Srinivasulu Reddy, U. Janet, B. Machine Learning and Data Analytics Lab Department of Computer Applications National Institute of Technology-Tiruchirappalli Tiruchirappalli India Centre of Excellence (CoE) in Artificial Intelligence National Institute of Technology-Tiruchirappalli Tiruchirappalli India Information Processing Lab Department of Computer Applications Tiruchirappalli India
Automatic recognition of handwritten digits in people with Cerebral Palsy (CP) is a serious challenge that requires advancements in data preparation for improved predictive accuracy. The disorganized digit pixel patte...
来源: 评论
The EmpkinS-EKSpression Reappraisal Training Augmented With Kinesthesia in Depression: One-Armed Feasibility Study
收藏 引用
JMIR Formative Research 2025年 9卷 e65357页
作者: Keinert, Marie Schindler-Gmelch, Lena Rupp, Lydia Helene Sadeghi, Misha Richer, Robert Capito, Klara Eskofier, Bjoern M. Berking, Matthias Department of Clinical Psychology and Psychotherapy Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany Machine Learning and Data Analytics Lab Department of Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany Translational Digital Health Group Institute of AI for Health Helmholtz Zentrum Muenchen Neuherberg Germany
Background: Harboring dysfunctional depressogenic cognitions contributes to the development and maintenance of depression. A central goal of cognitive behavioral therapy (CBT) for depression is to invalidate such cogn... 详细信息
来源: 评论
Understanding Cross-Model Perceptual Invariances Through Ensemble Metamers
arXiv
收藏 引用
arXiv 2025年
作者: Lukas, Lukas Mueller, Jonas Leo Loeffler, Christoffer Schwinn, Leo Eskofier, Bjoern Zanca, Dario Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering Friedrich-Alexander University Erlangen Germany School of Informatics Pontificia Universidad Católica de Valparaíso Valparaiso Chile Data Analytics and Machine Learning Lab Technische Universität München Munich Germany Institute of AI for Health Helmholtz Zentrum München Munich Germany
Understanding the perceptual invariances of artificial neural networks is essential for improving explainability and aligning models with human vision. Metamers—stimuli that are physically distinct yet produce identi... 详细信息
来源: 评论
Insect classification and detection in field crops using modern machine learning techniques
收藏 引用
Information Processing in Agriculture 2021年 第3期8卷 446-457页
作者: Thenmozhi Kasinathan Dakshayani Singaraju Srinivasulu Reddy Uyyala Machine Learning and Data Analytics Lab Centre of Excellence in Artificial IntelligenceDepartment of Computer ApplicationsNational Institute of TechnologyTiruchirappalliTiruchirappalli 620015Tamil NaduIndia
The agriculture sector has an immense potential to improve the requirement of food and supplies healthy and nutritious *** insect detection is a challenging task for farmers as a significant portion of the crops are d... 详细信息
来源: 评论
LSTM based Soft-Sensor for Estimating Nitrate Concentration in Aquaponics pond  3
LSTM based Soft-Sensor for Estimating Nitrate Concentration ...
收藏 引用
3rd International Conference for Innovation in Technology, INOCON 2024
作者: Dharshan, A. Kumar, Purushottam Ravimaran, S. Srinivasulu Reddy, U. Saranathan College of Engineering Department of Artificial Intelligence and Data Science Trichy India National Institute of Technology Artificial Intelligence Machine Learning & Data Analytics Lab Trichy India National Institute of Technology Department of Computer Applications Machine Learning & Data Analytics Lab Trichy India
In the field of aquaponics, where fish and plants coexist in a symbiotic environment, closely monitoring nitrate levels in the water is crucial due to their profound impact on aquatic and plant well-being. Traditional... 详细信息
来源: 评论
Estimating fish weight growth in aquaponic farming through machine learning techniques  3
Estimating fish weight growth in aquaponic farming through m...
收藏 引用
3rd IEEE International Conference on Intelligent Technologies, CONIT 2023
作者: Kumar, Purushottam Tiwari, Pranav Srinivasulu Reddy, U. Machine Learning & Data Analytics Lab CoE in Artificial Intelligence National Institute of Technology Trichy India Indian Institute of Information Technology Tiruchirappalli Computer Science and Engineering Trichy India National Institute of Technology Machine Learning & Data Analytics Lab Department of Computer Applications Trichy India
Due to the ever-growing population, rapid urbanization, unusual environmental change, and dwindling water supply, the food production from conventional farming techniques won't be able to keep up with increasing f... 详细信息
来源: 评论
Finding the transcription factor binding locations using novel algorithm segmentation to filtration (S2F)
收藏 引用
Journal of Ambient intelligence and Humanized Computing 2024年 第9期15卷 3347-3358页
作者: Theepalakshmi, P. Srinivasulu Reddy, U. Department of Computer Science and Engineering Gandhi Institute of Technology and Management Karnataka Bengaluru India Machine Learning and Data Analytics Lab Center of Excellence in Artificial Intelligence Department of Computer Applications National Institute of Technology Tamilnadu Tiruchirappalli India
The primary aim of identifying the binding motifs in gene regulation is to understand the transcriptional regulation molecular mechanism systematically. In this study, the (, d) motif search issue was considered ... 详细信息
来源: 评论
LSTM based Soft-Sensor for Estimating Nitrate Concentration in Aquaponics pond
LSTM based Soft-Sensor for Estimating Nitrate Concentration ...
收藏 引用
Innovation in Technology (INOCON), IEEE International Conference for
作者: A. Dharshan Purushottam Kumar S. Ravimaran U Srinivasulu Reddy Department of Artificial Intelligence and Data Science Saranathan College of Engineering Trichy India CoE in Artificial Intelligence Machine Learning & Data Analytics Lab National Institute of Technology Trichy India Department of Computer Applications Machine Learning & Data Analytics Lab National Institute of Technology Trichy India
In the field of aquaponics, where fish and plants coexist in a symbiotic environment, closely monitoring nitrate levels in the water is crucial due to their profound impact on aquatic and plant well-being. Traditional...
来源: 评论
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
arXiv
收藏 引用
arXiv 2023年
作者: Sun, Shoukun Xian, Min Xu, Fei Capriotti, Luca Yao, Tiankai Machine Intelligence and Data Analytics Lab Department of Computer Science University of Idaho United States Idaho National Laboratory United States
The click-based interactive segmentation aims to extract the object of interest from an image with the guidance of user clicks. Recent work has achieved great overall performance by employing feedback from the output.... 详细信息
来源: 评论
Gaitmap - An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
TechRxiv
收藏 引用
TechRxiv 2023年
作者: Küderle, Arne Ullrich, Martin Roth, Nils Ollenschläger, Malte Ibrahim, Alzhraa Moradi, Hamid Richer, Robert Seifer, Ann-Kristin Zürl, Matthias Sîmpetru, Raul Herzer, Liv Prossel, Dominik Kluge, Felix Eskofier, Bjoern Friedrich-Alexander-Universität Erlangen-Nürnberg Machine Learning and Data Analytics Lab Department of Artificial Intelligence in Biomedical Engineering Germany
来源: 评论