Results 91 to 100 of about 21,772 (300)

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Possibilistic classifiers for uncertain numerical data

, 2011
In many real-world problems, input data may be pervaded with uncertainty. Naive possibilistic classifiers have been proposed as a counterpart to Bayesian classifiers to deal with classification tasks in presence of uncertainty.
Prade, Henri, Myriam Bounhas, Mellouli, K, Bounhas, M, Serrurier, M, Henri Prade, Khaled Mellouli, Serrurier, Mathieu, Mellouli, Khaled, Bounhas, Myriam, Prade, H, Mathieu Serrurier   +11 more
core   +1 more source

Machine learning-based hybrid technique to enhance cyber-attack perspective

Journal of Cloud Computing: Advances, Systems and Applications
The rapid proliferation of interconnected devices and Internet of Things (IoT) applications has intensified cybersecurity risks for individuals, organizations, and critical infrastructures.
Aun Abbas, Muqaddas Salahuddin, Muhammad Zohaib Khan, Abdullah Ayub Khan, Fahim Uz Zaman, Syed Azeem Inam, Ghadah Aldehim, Tehseen Mazhar, Muhammad Amir Khan   +8 more
doaj   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

Distinct Multiple Learner-Based Ensemble SMOTEBagging (ML-ESB) Method for Classification of Binary Class Imbalance Problems

International Journal of Technology, 2019
Traditional classification algorithms often fail in learning from highly imbalanced datasets because the training involves most of the samples from majority class compared to the other existing minority class.
Dilip Singh Sisodia, Upasna Verma
doaj   +1 more source

Posterior Cortical Atrophy in the Asia‐Pacific: A Report From the PCA Asian Workgroup

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Posterior Cortical Atrophy (PCA) is a distinct dementia syndrome primarily affecting spatial abilities and visual processing. It is associated with degeneration in the posterior part of the brain. PCA is subclassified into PCA‐pure and PCA‐plus syndromes based on consensus criteria.
Yuttachai Likitjaroen, Ya‐Ting Chang, Levinia Lim, Pai‐Yi Chiu, Jung‐Lung Hsu, SangYun Kim, Wataru Narita, Na Young Ryoo, Kyoko Suzuki, Nagaendran Kandiah, Sebastian Crutch, Ming‐Chyi Pai   +11 more
wiley   +1 more source

Tree Tensor Network implemented on FPGA as ultra-low latency binary classifiers [PDF]

Tensor Networks (TNs) are a computational framework traditionally used to model quantum many-body systems. Recent research has demonstrated that TNs can also be effectively applied to Machine Learning (ML) tasks, producing results comparable to ...
Pazzini, Jacopo, Zanetti, Marco, Coppi, Alberto, Triossi, Andrea, Stanco, Andrea, Borella, Lorenzo   +5 more
core   +1 more source

Pears Internal Quality Inspection Based on X-Ray Imaging and Multi-Criteria Decision Fusion Model

Agriculture
Pears are susceptible to internal defects during growth and post-harvest handling, compromising their quality and market value. Traditional detection methods, such as manual inspection and physicochemical analysis, face limitations in efficiency ...
Zeqing Yang, Jiahui Zhang, Zhimeng Li, Ning Hu, Zhengpan Qi   +4 more
doaj   +1 more source

A New Horizo-Vertical Distributed Feature Selection Approach

Cybernetics and Information Technologies, 2018
Feature selection technique has been a very active research topic that addresses the problem of reducing the dimensionality. Whereas, datasets are continuously growing over time both in samples and features number.
Zerhari B., Lehcen A. Ait, Mouline S.
doaj   +1 more source

IV Thrombolysis Facilitates Interventional Reperfusion in Non‐Cardioembolic but Not Cardioembolic Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Intravenous thrombolysis (IVT) before thrombectomy for ischemic stroke may alter clot structure and procedural performance. We investigated how IVT relates to thrombectomy metrics across stroke etiologies. Methods We performed a time‐to‐event analysis of consecutive patients with anterior circulation large vessel occlusion (acLVO ...
Annahita Sedghi, Daniel P. O. Kaiser, Martin Arndt, Norma J. Diel, Erik Simon, Witold H. Polanski, Volker Puetz, Hagen B. Huttner, Timo Siepmann   +8 more
wiley   +1 more source