Endoscopic vs. Open Microsurgical Excision of Colloid Cysts: A Comparative Analysis and State-of-the-Art Review of Neurosurgical Techniques

2021 ◽  
Author(s):  
Ali Alkhaibary ◽  
Laila Baydhi ◽  
Ahoud Alharbi ◽  
Aljoharah A. Alshaikh ◽  
Sami Khairy ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
State Of The Art ◽  
Colloid Cysts ◽  
Neurosurgical Techniques

scholarly journals Methods for Simultaneous Robot-World-Hand–Eye Calibration: A Comparative Study

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2837 ◽  
Author(s):  
Ali ◽  
Suominen ◽  
Gotchev ◽  
Morales
Keyword(s):  
Comparative Analysis ◽  
Minimization Problem ◽  
State Of The Art ◽  
Simulated Data ◽  
Error Modeling ◽  
Robotic Arm ◽  
Error Minimization ◽  
Calibration Problem ◽  
Reprojection Error ◽  
Art Methods

In this paper, we propose two novel methods for robot-world-hand–eye calibration and provide a comparative analysis against six state-of-the-art methods. We examine the calibration problem from two alternative geometrical interpretations, called 'hand–eye' and 'robot-world-hand–eye', respectively. The study analyses the effects of specifying the objective function as pose error or reprojection error minimization problem. We provide three real and three simulated datasets with rendered images as part of the study. In addition, we propose a robotic arm error modeling approach to be used along with the simulated datasets for generating a realistic response. The tests on simulated data are performed in both ideal cases and with pseudo-realistic robotic arm pose and visual noise. Our methods show significant improvement and robustness on many metrics in various scenarios compared to state-of-the-art methods.

Modeling Rumors in Twitter

2016 ◽  
Vol 3 (4) ◽  
pp. 46-67 ◽  
Author(s):  
Rhythm Walia ◽  
M.P.S. Bhatia
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Comparative Analysis ◽  
State Of The Art ◽  
Viral Marketing ◽  
Daily Lives ◽  
The Past ◽  
Depth Analysis ◽  
Analysis Of Results ◽  
Effective Channel

With the advent of web 2.0 and anonymous free Internet services available to almost everyone, social media has gained immense popularity in disseminating information. It has become an effective channel for advertising and viral marketing. People rely on social networks for news, communication and it has become an integral part of our daily lives. But due to the limited accountability of users, it is often misused for the spread of rumors. Such rumor diffusion hampers the credibility of social media and may spread social panic. Analyzing rumors in social media has gained immense attention from the researchers in the past decade. In this paper the authors provide a survey of work in rumor analysis, which will serve as a stepping-stone for new researchers. They organized the study of rumors into four categories and discussed state of the art papers in each with an in-depth analysis of results of different models used and a comparative analysis between approaches used by different authors.

scholarly journals From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations

2018 ◽  
Vol 6 ◽  
pp. 343-356 ◽  
Author(s):  
Egoitz Laparra ◽  
Dongfang Xu ◽  
Steven Bethard
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Comparative Analysis ◽  
State Of The Art ◽  
Learning Approaches ◽  
Semantic Parsing ◽  
Time Intervals ◽  
Semantic Composition ◽  
Previous State ◽  
New Scoring

This paper presents the first model for time normalization trained on the SCATE corpus. In the SCATE schema, time expressions are annotated as a semantic composition of time entities. This novel schema favors machine learning approaches, as it can be viewed as a semantic parsing task. In this work, we propose a character level multi-output neural network that outperforms previous state-of-the-art built on the TimeML schema. To compare predictions of systems that follow both SCATE and TimeML, we present a new scoring metric for time intervals. We also apply this new metric to carry out a comparative analysis of the annotations of both schemes in the same corpus.

scholarly journals Symbolic Melodic Similarity: State of the Art and Future Challenges

2016 ◽  
Vol 40 (2) ◽  
pp. 70-83 ◽  
Author(s):  
Valerio Velardo ◽  
Mauro Vallati ◽  
Steven Jan
Keyword(s):  
Information Retrieval ◽  
Comparative Analysis ◽  
State Of The Art ◽  
Music Information Retrieval ◽  
The State ◽  
Information Retrieval Evaluation ◽  
Future Challenges ◽  
Music Information

Fostered by the introduction of the Music Information Retrieval Evaluation Exchange (MIREX) competition, the number of systems that calculate symbolic melodic similarity has recently increased considerably. To understand the state of the art, we provide a comparative analysis of existing algorithms. The analysis is based on eight criteria that help to characterize the systems, highlighting strengths and weaknesses. We also propose a taxonomy that classifies algorithms based on their approach. Both taxonomy and criteria are fruitfully exploited to provide input for new, forthcoming research in the area.

scholarly journals Forecasting Models for Coronavirus (COVID-19): A Survey of the State-of-the-Art

2020 ◽  
Author(s):  
Parikshit Mahalle ◽  
Asmita B. Kalamkar ◽  
Nilanjan Dey ◽  
Jyotismita Chaki ◽  
Aboul ella Hassanien ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
State Of The Art ◽  
The State ◽  
Forecasting Models ◽  
Data Source

When new virus and its respective disease cause more infections, it is very important to decide the strategies to control the spread and determine its impact. Considering the recent example of Coronavirus initially identified in Wuhan China has now targeted Italy badly, It is very important to study different forecasting models to control this pandemic. In the view of this, this study present the comparative analysis of various forecasting models, their classification and the techniques used. The detail analysis of forecasting models with respect to the parameters like data source, techniques, algorithms, mathematical parameters is also presented in this study. In the sequel, this study also presents useful recommendations to help government and healthcare community in designing better strategies and in taking productive decisions to control this outbreak.<div><br></div>

scholarly journals Forecasting Models for Coronavirus (COVID-19): A Survey of the State-of-the-Art

2020 ◽  
Author(s):  
Parikshit Mahalle ◽  
Asmita B. Kalamkar ◽  
Nilanjan Dey ◽  
Jyotismita Chaki ◽  
Aboul ella Hassanien ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
State Of The Art ◽  
The State ◽  
Forecasting Models ◽  
Data Source

When new virus and its respective disease cause more infections, it is very important to decide the strategies to control the spread and determine its impact. Considering the recent example of Coronavirus initially identified in Wuhan China has now targeted Italy badly, It is very important to study different forecasting models to control this pandemic. In the view of this, this study present the comparative analysis of various forecasting models, their classification and the techniques used. The detail analysis of forecasting models with respect to the parameters like data source, techniques, algorithms, mathematical parameters is also presented in this study. In the sequel, this study also presents useful recommendations to help government and healthcare community in designing better strategies and in taking productive decisions to control this outbreak.<div><br></div>

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