Results 101 to 110 of about 6,835 (292)
IEEE Access, 2017 An efficient and training-sample-reducing space-time adaptive processing (STAP) algorithm based on sparse representation for ground clutter suppression in airborne radar is proposed in this paper. First of all, the principle and problems of sample matrix
Yiduo Guo, Guisheng Liao, Weike Feng
doaj +1 more source
Bayesian Approaches to Detect and Mitigate Ground Clutter mixed with Weather Signals [PDF]
, 2013 Ground clutter is a long standing issue in radar meteorology, considering that it can bring significant bias to the estimations of weather moments, polarimetric parameters, rainfall rate, hydrometeor identification, etc.
Li, Yinguang
core
Development of effective 3D digital models for first‐time learners of musculoskeletal anatomy
Anatomical Sciences Education, EarlyView.Abstract Musculoskeletal anatomy is a critical component of allied health curricula. With the ubiquity of technology in the classroom and the recent COVID‐19 pandemic creating accessibility barriers for students, there is a need for viable digital resources to enhance learning by supplementing traditional textbook studying.
Alexander H. Safir +2 more
wiley +1 more source
A Clutter Suppression Approach for SAR-GMTI Based on Dual-channel DPCA
Leida xuebao, 2014 The Displaced Phase Center Antenna (DPCA) technology, a particular form of Space Time Adaptive Processing (STAP), has been widely used in Synthetic Aperture Radar Ground Moving Target Indication (SAR-GMTI).
Wang Xiao-yang +3 more
doaj +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
British Educational Research Journal, EarlyView.Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran +2 more
wiley +1 more source
Bayesian Optimum Radar Detector Performances Against Ground Clutter Data
, 2004 International audienceIn this paper detection performances of the Bayesian Optimum Radar Detector (BORD) against non-Gaussian ground clutter data are showed in the case of an unknown complex amplitude target. Recalling first how BORD was derived from the
Pascal, Frédéric +2 more
core
British Educational Research Journal, EarlyView.Abstract Education policy changes are believed to influence teachers' continuing professional learning (CPL) needs, but there is limited empirical evidence to support these claims. This lack of deep understanding has significant practical implications. This study used a new circular conceptual framework to analyse teachers' CPL needs. Leveraging public
Rikkert M. van der Lans +6 more
wiley +1 more source
British Educational Research Journal, EarlyView.Abstract Academic misconduct appeal services have quietly emerged within China's education marketplace, with commercial agencies promoting themselves on social media to assist international students facing misconduct hearings. While existing research on academic integrity has emphasized prevention and detection, far less attention has been paid to what
Gengyan Tang +2 more
wiley +1 more source
Flexible working and professional relationships in schools: An ecological approach
British Educational Research Journal, EarlyView.Abstract In English schools, the policy environment has recently moved considerably in favour of teachers taking planning, preparation and assessment (PPA) time away from the school site as one approach to flexible working in support of teacher retention.
Victoria Cook +3 more
wiley +1 more source