Results 11 to 20 of about 86 (78)
DNA microarray technologies enable the analysis of the expression of numerous genes in an individual experiment and become an important approach in the field of medicine and biology for investing genetic function, regulation, and interaction. Microarray images can be investigated well for obtaining the contained genetic data.
A Alkhaldi N +3 more
europepmc +2 more sources
Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms. [PDF]
A voice disorder database is an essential element in doing research on automatic voice disorder detection and classification. Ethnicity affects the voice characteristics of a person, and so it is necessary to develop a database by collecting the voice samples of the targeted ethnic group.
Mesallam TA +6 more
europepmc +2 more sources
Stochastic Bat Optimization Model for Secured WSN with Energy‐Aware Quantized Indexive Clustering
The wireless sensor networks (WSNs) with dynamic topology communication among the sensor nodes is vulnerable to numerous attacks. As they have limited power, there arises a conflict between the complex security scheme and the consumption of energy which are inversely proportional to each other.
J. Paruvathavardhini +2 more
wiley +1 more source
In the context of today’s supply‐side structural reform, the research on the relationship between foreign trade and economic growth has received extensive attention from researchers. Since China’s economic reform and opening up in the late 1970s, China’s economy has experienced a relatively long period of rapid growth.
Lihong Lu, Daixin Wang, Haichang Zhang
wiley +1 more source
Application of Parzen Window estimation for incipient fault diagnosis in power transformers
Accurate faults diagnosis in power transformers is important for utilities to schedule maintenance and minimises the operation cost. Dissolved gas analysis (DGA) is one of the proven and widely accepted tools for incipient fault diagnosis in power transformers.
Md Mominul Islam +2 more
wiley +1 more source
In recent years, thanks to the use of Internet services, daily activities used to imply movement became more accessible to any user. As a result of such interconnection, now millions of people from different countries are able to communicate among themselves through the Internet, generating a great flow of data and classified information.
Blanca Esther Carvajal-Gámez +2 more
wiley +1 more source
Nowadays, advancements in depth imaging technologies have made human activity recognition (HAR) reliable without attaching optical markers or any other motion sensors to human body parts. This study presents a depth imaging‐based HAR system to monitor and recognize human activities.
Ahmad Jalal +3 more
wiley +1 more source
A Hybrid Vector Quantization Combining a Tree Structure and a Voronoi Diagram
Multimedia data is a popular communication medium, but requires substantial storage space and network bandwidth. Vector quantization (VQ) is suitable for multimedia data applications because of its simple architecture, fast decoding ability, and high compression rate.
Yeou-Jiunn Chen +3 more
wiley +1 more source
Decentralized Limited‐Feedback Multiuser MIMO for Temporally Correlated Channels
This paper proposes a novel multiuser (MU) multiplexing scheme for temporally correlated multiple‐input, multiple‐output (MIMO) channels, suitable for systems employing low‐rate feedback links. A decentralized solution is obtained by the mobile receivers, which employ interference rejection combiner (IRC) linear filters and command the update of the ...
Eduardo Zacarías B +3 more
wiley +1 more source
ENHANCED ITERATION-FREE FRACTAL IMAGE CODING ALGORITHM WITH EFFICIENT SEARCH AND STORAGE SPACE [PDF]
An enhanced iteration free fractal algorithm is proposed in this research paper to design an efficient domain pool for image compression. The proposed methodology reduces the coding process time, intensive computation tasks and also the memory ...
A.R. Nadira Banu Kamal +1 more
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