Results 31 to 40 of about 68,798 (306)

Machine Learning for Business Analytics

, 2020
All these types of analytics have been answering business questions for a long time about the principal methods of investigating data warehouses. Especially data mining and business intelligence systems support decision makers to reach the information ...
Kağan Okatan, Okatan,K.
core   +1 more source

“MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation

Current Directions in Biomedical Engineering, 2018
Migraine attacks can be accompanied by many different symptoms, some of them appearing within 24 hours before the onset of the headache. In previous work, reduced habituation to an electrical pain stimulus at the head was observed in the pre-ictal phase ...
Stefke Andrea, Wilm Frauke, Richer Robert, Gradl Stefan, Eskofier Bjoern M., Forster Clemens, Namer Barbara   +6 more
doaj   +1 more source

Insect classification and detection in field crops using modern machine learning techniques

Information Processing in Agriculture, 2021
The agriculture sector has an immense potential to improve the requirement of food and supplies healthy and nutritious food. Crop insect detection is a challenging task for farmers as a significant portion of the crops are damaged, and the quality is ...
Thenmozhi Kasinathan, Dakshayani Singaraju, Srinivasulu Reddy Uyyala   +2 more
doaj   +1 more source

The Impact of Random Models on Standardized Clustering Similarity

IEEE Access
Clustering similarity measures are essential for evaluating clustering results and ensuring diversity in multiple clusterings of the same dataset. Common indices like the Mutual Information (MI) and Rand Index (RI) are biased towards smaller clusters and
Kai Klede, Thomas R. Altstidl, Dario Zanca, Bjorn M. Eskofier   +3 more
doaj   +1 more source

Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables

Sensors, 2019
Activity monitoring using wearables is becoming ubiquitous, although accurate cycle level analysis, such as step-counting and gait analysis, are limited by a lack of realistic and labeled datasets. The effort required to obtain and annotate such datasets
Christine F. Martindale, Sebastijan Sprager, Bjoern M. Eskofier   +2 more
doaj   +1 more source

Correction to: Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson’s disease

Journal of NeuroEngineering and Rehabilitation, 2019
The original article [1] contained an error whereby Fig. 6 contained a minor shading glitch affecting its presentation. This has now been corrected.
An Nguyen, Nils Roth, Nooshin Haji Ghassemi, Julius Hannink, Thomas Seel, Jochen Klucken, Heiko Gassner, Bjoern M. Eskofier   +7 more
doaj   +1 more source

Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson’s disease

Journal of NeuroEngineering and Rehabilitation, 2019
Background Gait symptoms and balance impairment are characteristic indicators for the progression in Parkinson’s disease (PD). Current gait assessments mostly focus on straight strides with assumed constant velocity, while acceleration/deceleration and ...
An Nguyen, Nils Roth, Nooshin Haji Ghassemi, Julius Hannink, Thomas Seel, Jochen Klucken, Heiko Gassner, Bjoern M. Eskofier   +7 more
doaj   +1 more source

Recipe for success — Lessons learnt from using xAPI within the Connected Learning Analytics toolkit [PDF]

, 2016
An ongoing challenge for Learning Analytics research has been the scalable derivation of user interaction data from multiple technologies. The complexities associated with this challenge are increasing as educators embrace an ever growing number of ...
Abelardo Pardo, Dragan Gašević, Bakharia, A., Aneesha Bakharia, Gašević, D., Shane Dawson, Kirsty Kitto, Kitto, K, Kitto, Kirsty, Dawson, Shane, Dawson, S., Pardo, Abelardo, Bakharia, Aneesha, Kitto, K., Gasevic, Dragan, Pardo, A, Dawson, S, Gaševíc, D, Pardo, A., Bakharia, A   +19 more
core   +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

Machine Learning for Predictive Analytics in Social Media Data [PDF]

, 2023
Machine Learning (ML) has become a potent predictive analytics tool in several fields, including the study of social media data. Social media sites have developed into massive repositories of user-generated information, providing insightful data about ...
Madini O. Alassafi, Ahmed Alkhayyat, Ibrokhimov Sarvar Muydinjon Ugli, Wajdi Alghamdi, S. Sathiya Naveena, Absalomov Tolib   +5 more
core   +3 more sources