Novel radiomic features versus deep learning: differentiating brain metastases from pathological lung cancer types in small datasets

G Tulum - The British Journal of Radiology, 2023 - academic.oup.com
Objective: Accurate diagnosis and early treatment are crucial for survival in patients with
brain metastases. This study aims to expand the capability of radiomics-based classification …

基于改进QGA-ELM 的瓦斯涌出量预测模型

星宁江, 周文铮, 刘雨竹 - 矿业安全与环保, 2024 - kyaqyhb.com
针对现有的瓦斯涌出量预测方法普遍未定量分析数据自身因素影响的问题,
提出一种改进量子遗传算法(IQGA) 优化极限学习机(ELM) 瓦斯涌出量预测模型 …

Machine learning-based crypto ransomware detection model on windows platforms

M Musonda, A Zimba… - … of International Conference …, 2023 - ictjournal.icict.org.zm
Ransomware, an evolving and highly destructive form of malware, presents substantial
challenges in terms of detection and prevention. Despite extensive research and the …

Differential Diagnosis of Diabetic Foot Osteomyelitis and Charcot Neuropathic Osteoarthropathy with Deep Learning Methods

M Cakir, G Tulum, F Cuce, KB Yilmaz… - Journal of Imaging …, 2024 - Springer
Our study aims to evaluate the potential of a deep learning (DL) algorithm for differentiating
the signal intensity of bone marrow between osteomyelitis (OM), Charcot neuropathic …

Prediction model of gas emission rate based on improved QGA-ELM

X Ningjiang, Z Wenzheng, LIU Yuzhu - Mining Safety & …, 2024 - kyaqyhb.com
To investigate the problem that existing gas emission prediction methods generally do not
quantitatively analyze the influence of the data itself, an improved quantum genetic …

Il danno da uso di Intelligenza Artificiale: stato dell'arte e proposte normative

G VAROTTO - thesis.unipd.it
Le ricerche riguardanti l9intelligenza artiûciale sono risalenti agli anni 850 del XX secolo,
quando venne proposto il tema tra gli altri da Alan Turing nel suo pionieristico Computing …