Convolutional neural networks (CNNs) constitute a widely used deep learning approach that
has frequently been applied to the problem of brain tumor diagnosis. Such techniques still …

Uncontrolled and fast cell proliferation is the cause of brain tumors. Early cancer detection is
vitally important to save many lives. Brain tumors can be divided into several categories …

Brain tumors pose a serious threat to public health, impacting thousands of individuals
directly or indirectly worldwide. Timely and accurate detection of these tumors is crucial for …

Abstract Background Pineal region tumors (PRTs) are highly histologically heterogeneous.
Germinoma is the most common PRT and is treatable with radiotherapy and chemotherapy …

Background The pretherapeutic differentiation of subtypes of primary intracranial germ cell
tumours (iGCTs), including germinomas (GEs) and nongerminomatous germ cell tumours …

The current work investigates the effect of humid conditions on the glass cover temperature
distribution of the parabolic trough solar collector system. For the aforementioned work, a …

Artificial intelligence (AI) algorithms have been applied in abundant medical tasks with high
accuracy and efficiency. Physicians can improve their diagnostic efficiency with the …

A timely and accurate cancer diagnosis is essential for improving treatment outcomes. This
study presents a hybrid model integrating Extreme Learning Machine (ELM) with FuNet …

The problem at hand is the significant global health challenge posed by children's diseases,
where timely and accurate diagnosis is crucial for effective treatment and management …

Background Monosodium glutamate (MSG) in its anionic form, glutamate, is one of the main
excitatory amino acids. Excess of this neurotransmitter may lead to excitotoxicity affecting …