Computer and information sciences topic list of research papers
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Research on Improved Collaborative Filtering Recommendation Algorithm on MapReduce2016 / Jie Dong, Yun Qin, Xue Yang Sun, Li Ming Du
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BER Performance of QAM and QPSK Modulation Technique for DCT Based Channel Estimation of STBC MIMO OFDM2016 / Suzi Seroja Sarnin, Siti Maisurah Sulong, Nurhuda Abu Hasan Asa’Ari
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Transportation dynamics on coupled networks with limited bandwidth2016 / Ming Li, Mao-Bin Hu, Bing-Hong Wang
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E-Queue Mobile Application2017 / Yeen Lai Khong, Bee Chen Ooi, Kok Eng Tan, Salizatul Aizah Binti Ibrahim, Peck Ling Tee
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Application and Research on The Model of Distributed Intelligent Cooperative Decision Support System2016 / Peng-Fei Peng, Hao-Tian Cui
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Search Intention Analysis for Task- and User-Centered Visualization in Big Data Applications
Abstract A new approach for classifying users’ search intentions is described in this paper. The approach uses the parameters: word frequency, query length and entity matching for distinguishing the user's query into exploratory, targeted and...
2017 / Dirk Burkhardt, Sachin Pattan, Kawa Nazemi, Arjan Kuijper -
Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video2017 / Shuang Liu, Yongqiang Zhang, Xiaosong Yang, Daming Shi, Jian J. Zhang
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Strategies and Challenges to Facilitate Situated Learning in Virtual Worlds Post-Second Life2017 / Marc Conrad, Adil Hassan, Lyzgeo Koshy, Aslan Kanamgotov, Athanasios Christopoulos
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Performance analysis of the clustering-based multihop wireless energy harvesting sensor networks over symmetric and asymmetric fading channels2017 / Vikash Singh, Hideki Ochiai
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3D Vision Based Landing Control of a Small Scale Autonomous Helicopter2012 / Zhenyu Yu, Kenzo Nonami, Jinok Shin, Demian Celestino
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Multi-Agent Foraging: state-of-the-art and research challenges2017 / Ouarda Zedadra, Nicolas Jouandeau, Hamid Seridi, Giancarlo Fortino
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Improved privacy of dynamic group services2017 / Thijs Veugen, Jeroen Doumen, Zekeriya Erkin, Gaetano Pellegrino, Sicco Verwer, et al.
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Churn prediction on huge telecom data using hybrid firefly based classification
Abstract Churn prediction in telecom has become a major requirement due to the increase in the number of telecom providers. However due to the hugeness, sparsity and imbalanced nature of the data, churn prediction in telecom has always been a...
2017 / Ammar A.Q. Ahmed, D. Maheswari -
Tracking Control of Linear Time-Invariant Nonminimum Phase Systems Using Filtered Basis Functions2016 / Keval S. Ramani, Molong Duan, Chinedum E. Okwudire, A. Galip Ulsoy
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RFID in Logistics and Production –Applications, Research and Visions for Smart Logistics Zones
Abstract The demands on the automatic identification and localization as also the condition monitoring of logistics objects as sources of data for a secure supply chain's documentation and control are increasing. By using such technologies Smart...
2017 / Martin Kirch, Olaf Poenicke, Klaus Richter -
Multi-agent Approach for Distributed Information Systems Reliability Prediction
Abstract Multi-Agent algorithms of obtaining the rational solution of problems of ensuring stability of functioning of the distributed information systems in the conditions of rigid temporary restrictions are offered. The short characteristic of the ...
2017 / D.O. Yesikov, A.N. Ivutin, E.V. Larkin, V.V. Kotov -
Shaping the Future Maintenance Operations: Reflections on the Adoptions of Augmented Reality Through Problems and Opportunities
Abstract Maintenance technicians play a fundamental role in ensuring the success of the system reliability, but several fatal accidents occur during the maintenance operations in Europe due to the nature of the job and to human errors. Augmented...
2017 / Alberto Martinetti, Mohammad Rajabalinejad, Leo van Dongen -
A Fast and Simple Adaptive Bionic Wavelet Transform: ECG Baseline Shift Correction2017 / Ludi Wang, Xiaoguang Zhou, Ying Xing, Siqi Liang
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Linear classifier design under heteroscedasticity in Linear Discriminant Analysis
Abstract Under normality and homoscedasticity assumptions, Linear Discriminant Analysis (LDA) is known to be optimal in terms of minimising the Bayes error for binary classification. In the heteroscedastic case, LDA is not guaranteed to minimise...
2017 / Kojo Sarfo Gyamfi, James Brusey, Andrew Hunt, Elena Gaura -
Utilising the Internet of Things for the Management of Through-life Engineering Services on Marine Auxiliaries
Abstract The producers of marine auxiliaries face the challenge, that they need to adapt their schedule for maintenance, repair and overhaul (MRO) operations and other Through-life Engineering Services (TES) to the otherwise defined and often not...
2017 / Moritz von Stietencron, Carl Christian Røstad, Bjørnar Henriksen, Klaus-Dieter Thoben