Results 101 to 110 of about 100,345 (312)

State‐space models and inference approaches for aquatic animal tracking with passive acoustic telemetry and biologging sensors

Methods in Ecology and Evolution, EarlyView.
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender, Andreas Scheidegger, Helen Moor, Carlo Albert   +3 more
wiley   +1 more source

WASTK: A Weighted Abstract Syntax Tree Kernel Method for Source Code Plagiarism Detection

Scientific Programming, 2017
In this paper, we introduce a source code plagiarism detection method, named WASTK (Weighted Abstract Syntax Tree Kernel), for computer science education.
Deqiang Fu, Yanyan Xu, Haoran Yu, Boyang Yang   +3 more
semanticscholar   +1 more source

CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees [PDF]

, 2021
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun   +6 more
openalex   +1 more source

Text in R graphics

Australian &New Zealand Journal of Statistics, EarlyView.
Summary R graphics has provided the ability to draw simple text labels on plots since R version 1.0.0. However, these basic text‐drawing facilities are quite limited. Over the past 25 years, more sophisticated text‐drawing features have been added: support for the Unicode character set; access to system fonts; text paths; support for text markup; and ...
Paul Murrell
wiley   +1 more source

AAHEG: Automatic Advanced Heap Exploit Generation Based on Abstract Syntax Tree [PDF]

, 2023
Yu Wang, Yipeng Zhang, Zhoujun Li
openalex   +1 more source

Scoping review on natural language processing applications in counselling and psychotherapy

British Journal of Psychology, EarlyView.
Abstract Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021.
Maria Laricheva, Yan Liu, Edward Shi, Amery Wu   +3 more
wiley   +1 more source

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

V2Va +: An Efficient SystemVerilog & Verilog-to-Verilog-A Translator for Accelerated Mixed-Signal Simulation

IEEE Open Journal of Circuits and Systems
This paper introduces a streamlined SystemVerilog & Verilog-to-Verilog-A (V2Va +) translation tool that automates the conversion of synthesizable SystemVerilog and Verilog code into Verilog-A code, enabling concurrent simulation of analog and ...
Chao Wang, Yicong Shao, Jiajie Huang, Wangzilu Lu, Zhiwen Gu, Longfan Li, Yuhang Zhang, Jian Zhao, Wei Mao, Yongfu Li   +9 more
doaj   +1 more source

Artificial intelligence streamlines scientific discovery of drug–target interactions

British Journal of Pharmacology, EarlyView.
Abstract Drug discovery is a complicated process through which new therapeutics are identified to prevent and treat specific diseases. Identification of drug–target interactions (DTIs) stands as a pivotal aspect within the realm of drug discovery and development. The traditional process of drug discovery, especially identification of DTIs, is marked by
Yuxin Yang, Feixiong Cheng
wiley   +1 more source

An Improved CNN Model for Within-Project Software Defect Prediction

Applied Sciences, 2019
To improve software reliability, software defect prediction is used to find software bugs and prioritize testing efforts. Recently, some researchers introduced deep learning models, such as the deep belief network (DBN) and the state-of-the-art ...
Cong Pan, Minyan Lu, Biao Xu, Houleng Gao   +3 more
doaj   +1 more source