Abstract There is an increasing tension in agriculture between the requirements to assure full safety on the one hand and keep costs under control on the other hand, both with […]
Advanced visualization of Big Data for Agriculture as Part of Databio Development Read More »
Abstract As the number of data in various industries and government sectors is growing exponentially, the ‘7V’ concept of big data aims to create new value by indiscriminately collecting and
De-identification and Privacy Issues on Bigdata Transformation Read More »
Abstract Sorting is pivotal data analytics and becomes challenging with intensive computation on drastically growing data volume. Sorting on FPGA has shown superior throughput, but the limited in-system memory causes
A Two-Directional BigData Sorting Architecture on FPGAs Read More »
Abstract Recently, wireless sensor networks (WSNs) have had many real-world applications; they have thus become one of the most interesting areas of research. The network lifetime is a major challenge
Abstract Current Conditional Functional Dependency (CFD) discovery algorithms always need a well-prepared training dataset. This condition makes them difficult to apply on large and low-quality datasets. To handle the volume
Mining conditional functional dependency rules on big data Read More »
Abstract In order to analyze the big data of people’s livelihood appeal, this paper proposes a time series modeling and algorithm to decompose the time series {x(t)} of data into
Abstract We present M3ER, a learning-based method for emotion recognition from multiple input modalities. Our approach combines cues from multiple co-occurring modalities (such as face, text, and speech) and also
Abstract With the explosive growth of the Internet of Things (IoT) using WiFi networks along with their huge data flows (especially Bigdata using TCP connections), the significant challenges are the
Policy-based Bigdata Security and QoS Framework for SDN/IoT: An Analytic Approach Read More »
![Coordination between control layer AI and on-board AI in optical transport networks [Invited]](https://ksra.fr/wp-content/uploads/2020/08/Artificial-Superintelligence-In-Control-300x279.jpg)
Abstract In optical transport networks, the urgent demand for control efficiency and intelligence has become one of the most significant challenges for telecom operators. With the development in control technology,
Abstract Internet of Things (IoT) is a communication paradigm that connects devices and objects in order to harvest and process data produced by several edge devices [1]. It is predicting
An Overview of AI-Enabled Remote Smart- Home Monitoring System Using LoRa Read More »
