Results 41 to 50 of about 595,263 (265)

A Deep Learning Enabled Multi-Class Plant Disease Detection Model Based on Computer Vision

AI, 2021
In this paper, a deep learning enabled object detection model for multi-class plant disease has been proposed based on a state-of-the-art computer vision algorithm. While most existing models are limited to disease detection on a large scale, the current
Arunabha M. Roy, Jayabrata Bhaduri
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm

Engineering Reports
Machine learning is important in the treatment of heart disease because it is capable of analyzing large amounts of patient data, such as medical records, imaging tests, and genetic information, in order to identify patterns and predict the risk of ...
Jannatul Mauya, Saad Sahriar, Sanjida Akther, Ruhul Amin, Sabba Ruhi, Md. Shamim Reza   +5 more
doaj   +1 more source

UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery

International Journal of Applied Earth Observations and Geoinformation, 2021
This paper presents a Convolutional Neural Networks (CNN) based Unsupervised Curriculum Learning approach for the recognition of water bodies to overcome the stated challenges for remote sensing based RGB imagery. The unsupervised nature of the presented
Nosheen Abid, Muhammad Shahzad, Muhammad Imran Malik, Ulrich Schwanecke, Adrian Ulges, György Kovács, Faisal Shafait   +6 more
doaj   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Deep Learning at Alibaba [PDF]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
In this talk, I will focus on the applications and the latest development of deep learning technologies at Alibaba. More specifically, I will discuss (a) how to handle high dimensional data in DNN and its application to recommender system, (b) the development of deep learning models for transfer learning and its application to multimedia data analysis,
openaire   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

PUST Cafeteria Food Image Dataset: Real-world Bangladeshi meal-platter images with bounding-box and polygon annotations

Data in Brief
The PUST Cafeteria Food Image Dataset is a real-world image resource developed for object detection and instance segmentation of mixed Bangladeshi cafeteria meals. The source collection comprises 720 meal-platter photographs acquired between 1 August and
Marufa Yeasmin, Md. Razu Ahmed, Protiva Rani Kundu, Jannatul Mauya, Md. Shamim Reza   +4 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Approximations in Deep Learning

, 2022
Approximate Computing Techniques - From Component- to Application-Level, pp.467-512, 2022, 978-3-030-94704 ...
Dupuis, Etienne, Filip, Silviu-Ioan, Sentieys, Olivier, Novo, David, O'Connor, Ian, Bosio, Alberto   +5 more
openaire   +3 more sources