Results 61 to 70 of about 5,170 (214)

A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance

Information, 2018
The K-nearest neighbour classifier is very effective and simple non-parametric technique in pattern classification; however, it only considers the distance closeness, but not the geometricalplacement of the k neighbors.
Sumet Mehta, Xiangjun Shen, Jiangping Gou, Dejiao Niu   +3 more
doaj   +1 more source

Direct Comparison Between Loss‐to‐Follow‐Up and Statistical Fragility Is Methodologically Inappropriate, and Fragility Reflects the P Value, Not Trial Robustness: A Simulation Analysis of 300,000 Randomized Controlled Trials

Arthroscopy, EarlyView.
Purpose To assess the relation between the fragility index (FI) and reverse fragility index (RFI) with the minimum number of patients needed to reverse statistical significance (e.g. henceforth termed the lost to follow‐up index (LTFI) and reverse LTFI (R‐LTFI), respectively) and apply machine learning to identify which trial parameters are most ...
Prushoth Vivekanantha, Helena Son, Jeffrey Kay, Satyavenkata Kotipalli, Marc Daniel Bouchard, Kim Madden, Nicole Simunovic, Olufemi R. Ayeni   +7 more
wiley   +1 more source

Entrepreneurial Ecosystem Conditions and Sustainable Value Creation: Predictive Evidence From Knowledge‐Intensive Ventures in São Paulo, Brazil

Business Strategy and the Environment, EarlyView.
ABSTRACT Entrepreneurial ecosystems (EEs) are systems shaping innovation and sustainable development, yet limited evidence exists on the relative predictive contribution of their components to sustainable value creation. This study examines associations between six EE dimensions and environmental, social and economic value creation among 245 knowledge ...
Damaris Chieregato Vicentin, Gustavo Hermínio Salati Marcondes de Moraes, Bruno Brandão Fischer, João Henrique Paulino Pires Eustachio, Walter Leal Filho   +4 more
wiley   +1 more source

From Dictionaries to Deep Learning: A Systematic Mapping Review of the Natural Language Processing Tasks Used to Analyze Sustainability Reports

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley   +1 more source

A Hubness Information-Based k-Nearest Neighbor Approach for Multi-Label Learning

Mathematics
Multi-label classification (MLC) plays a crucial role in various real-world scenarios. Prediction with nearest neighbors has achieved competitive performance in MLC. Hubness, a phenomenon in which a few points appear in the k-nearest neighbor (kNN) lists
Zeyu Teng, Shanshan Tang, Min Huang, Xingwei Wang   +3 more
doaj   +1 more source

Toward a Paradigm Shift in Low‐Temperature SCR Catalyst Design: Defect Engineering and Data‐Driven Integration

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan, Pinjing He, Fan Lü, Hua Zhang   +3 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Untethered Electrical Stimulation Using Optoelectricity and Piezoelectricity for Tissue Regeneration

FlexTech, EarlyView.
Untethered electrical stimulation from optoelectronic and piezoelectric materials can aid regeneration of damaged tissue. ABSTRACT Electrical signals are increasingly recognized as important regulators of tissue development and regeneration, with outcomes linked to behaviors including proliferation, differentiation, cell migration, and more.
Ryan Yao, Baochun Xu, Cunjiang Yu
wiley   +1 more source

SMPKR: Search Engine for Internet of Things

IEEE Access, 2019
The Internet of Things (IoT) has become the infrastructure to widely support ubiquitous applications. Due to the highly dynamic context setting, IoT search engines have attracted increasing attention from both industrial and academic field to crawl and ...
Jine Tang, Zhangbing Zhou, Lei Shu, Gerhard Hancke   +3 more
doaj   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source