This paper presents a system for medical image diagnosis that uses transfer learning (TL) and feature selection techniques. The main aim of TL on pre-trained models such as MobileNetV3 is to extract features from raw images. Here, novel optimization algorithm called the Artificial Hummingbird Algorithm based Aquila Optimization (AHA-AO) proposed. AHA-AO used select only most relevant ensure imp...

This paper examines the relationship between firm performance and ownership structure for listed and OTC manufacturing firms in Taiwan. By classifying ownership into three categories (managerial owners, institutional owners and the control group), the study addresses two related empirical issues—the commonly examined piecewise and the Granger causality relationships between ownership and perfor...

Stimuli that are clearly positive or negative (hence valence-laden stimuli) have the potential to interrupt unrelated task processing. A typical example is the emotional Stroop effect (ESE) in which responding to a certain task feature (e.g., color) is delayed by the presentation of task-irrelevant valent stimuli (e.g., negative pictures) compared to valence-neutral stimuli. Here we scrutinize ...

Support vector machines (and other kernel machines) offer robust modern machine learning methods for nonlinear classification. However, relative to other alternatives (such as linear methods, decision trees and neural networks), they can be orders of magnitude slower at query-time. Unlike existing methods that attempt to speedup querytime, such as reduced set compression (e.g. (Burges, 1996)) a...

This paper aims to identify key challenges facing Iran and South Korea in their bilateral trade and investment relations. In particular, it is concerned with the policy implications which can be useful for policy makers and business people of both countries. For this purpose, we review and analyze the recent developments of the Iranian economy and bilateral trade and investment relations betwee...

Abstract Human Skin cancer is commonly detected visually through clinical screening followed by a dermoscopic examination. However, automated skin lesion classification remains challenging due to the visual similarities between benign and melanoma lesions. In this work, authors proposed new Artificial Intelligence-Based method classify method, we used Residual Deep Convolution Neural Network. W...

The diagnosis of skin cancer has been identified as a significant medical challenge in the 21st century due to its complexity, cost, and subjective interpretation. Early is critical, especially fatal cases like melanoma, it affects likelihood successful treatment. Therefore, there need for automated methods early diagnosis, with diverse range image samples varying diagnoses. An system dermatolo...

â â â  â â â â â  the main purpose of present study is to analyze the relationship between stock and exchange markets in two asian countries, iran and south korea. a monthly time series of stock price and exchange rate are used over the period 2002: 05 - 2012: 03. the data is collected from the central bank of each country and wdi. the calculated stock return and real exchange rate change are u...