Results 31 to 40 of about 249,220 (290)
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 +2 more
doaj +1 more source
Detecting Irregular Patterns in IoT Streaming Data for Fall Detection
, 2018 Detecting patterns in real time streaming data has been an interesting and challenging data analytics problem. With the proliferation of a variety of sensor devices, real-time analytics of data from the Internet of Things (IoT) to learn regular and ...
Isah, Haruna +3 more
core +1 more source
Scalable aggregation predictive analytics: a query-driven machine learning approach [PDF]
, 2017 We introduce a predictive modeling solution that provides high quality predictive analytics over aggregation queries in Big Data environments. Our predictive methodology is generally applicable in environments in which large-scale data owners may or may ...
Anagnostopoulos, Christos +2 more
core +1 more source
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 +7 more
doaj +1 more source
Gaining insight from large data volumes with ease [PDF]
, 2018 Efficient handling of large data-volumes becomes a necessity in today's world. It is driven by the desire to get more insight from the data and to gain a better understanding of user trends which can be transformed into economic incentives (profits, cost-
Kuznetsov, Valentin
core +2 more sources
Smart Asset Management for Electric Utilities: Big Data and Future
, 2018 This paper discusses about future challenges in terms of big data and new technologies. Utilities have been collecting data in large amounts but they are hardly utilized because they are huge in amount and also there is uncertainty associated with it ...
A Koronis +6 more
core +1 more source
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 +7 more
doaj +1 more source
Visual analytics of movement: An overview of methods, tools and procedures [PDF]
, 2012 Analysis of movement is currently a hot research topic in visual analytics. A wide variety of methods and tools for analysis of movement data has been developed in recent years.
Andrienko, G., Andrienko, N.
core +2 more sources
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
What Types of Predictive Analytics are Being Used in Talent Management Organizations? [PDF]
, 2015 [Excerpt] Talent management organizations are increasingly deriving insights from data to make better decisions. Their use of data analytics is advancing from descriptive to predictive and prescriptive analytics.
Grillo, Maria
core +1 more source