Search
Now showing items 1-10 of 11
A novel intelligent approach for detecting DoS flooding attacks in software-defined networks
(Universitas Ahmad Dahlan, 2018-03)
Software-Defined Networking (SDN) is an emerging networking paradigm that provides an advanced programming capability and moves the control functionality to a centralized controller. This paper proposes a two-stage novel ...
Multivariate sensor data analysis for oil refineries and multi-mode identification of system behavior in real-time
(IEEE, 2018)
Large-scale oil refineries are equipped with mission-critical heavy machinery (boilers, engines, turbines, and so on) and are continuously monitored by thousands of sensors for process efficiency, environmental safety, and ...
A novel runtime verification solution for LoT systems
(IEEE, 2018)
Internet of Things (IoT) systems promise a seamless connected world with machines integrating their services without human intervention. It's highly probable that the entities participating in such autonomous machine to ...
Quickly starting media streams using QUIC
(Association for Computing Machinery, Inc, 2018-06-12)
Originally proposed by Google, QUIC is a low-latency transport protocol currently being developed and specified in the IETF. QUIC's low-latency, improved congestion control, multiplexing features are promising and may help ...
Foreword
(Association for Computing Machinery, Inc, 2018-06-12)
N/A
Multi-lingual depression-level assessment from conversational speech using acoustic and text features
(International Speech Communication Association, 2018)
Depression is a common mental health problem around the world with a large burden on economies, well-being, hence productivity, of individuals. Its early diagnosis and treatment are critical to reduce the costs and even ...
Aktör tabanlı sistemler için test kapsama kriterleri
(CEUR-WS, 2018)
Aktör tabanlı sistemler, eşzamanlı çalışan ve birbirleri ile asenkron bir şekilde haberleşen aktör isimli otonom elemanlardan oluşmaktadırlar. Asenkron haberleşme sebebiyle aktörler arasında paylaşılan mesajların sıralaması ...
Evidential deep learning to quantify classification uncertainty
(Neural Information Processing Systems Foundation, 2018)
Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems. However, as the standard approach is to train the network to minimize a prediction loss, the resultant ...
A framework for adaptive delivery of omnidirectional video
(Society for Imaging Science and Technology, 2018)
Omnidirectional or 360-degree videos are considered as a next step towards a truly immersive media experience. Such videos allow the user to change her/his viewing direction while consuming the video. The download-and-play ...
Human-in-the-loop control and task learning for pneumatically actuated muscle based robots
(Frontiers Media, 2018-11-06)
Pneumatically actuated muscles (PAMs) provide a low cost, lightweight, and high power-To-weight ratio solution for many robotic applications. In addition, the antagonist pair configuration for robotic arms make it open to ...
Share this page