… challenges that practitioners face. In addition, we identify solutions used to address some of
these challenges. … were qualitatively analyzed by extracting challenges and solutions. The …

… challenges. Much research has been done to secure these infrastructures; however, Machine
Learning (… This survey covers the major security issues and open challenges encountered …

… to understand the challenges when developing ML systems, and to assess how those
challenges can impact the ML project. Once again, we assessed whether these challenges are …

… This article details common pitfalls in machine learning experiments and their solutions. The
aim is to give a practical reference for clinicians to interface with data scientists and facilitate …

… solutions for the IoT networks. We then shed light on the gaps in these security solutions that
… We also discuss in detail the existing ML and DL solutions for addressing different security …

… The first section of this paper discusses the most common machine learning methods for
forecasting building energy demand. The authors then discuss IoT and how it works, in addition …

… the challenges posed by adversarial machine learning in the context of network security and
proposes solutions … the landscape of adversarial machine learning, elucidating the various …

… is a challenge in the industry. In this study, we show that the powerful deep machine
learning provides a new effective method to solve this challenge in theory and applications. …

… the challenges specific or highly relevant to machine learning in … have described general
machine learning challenges with Big … Big Data solutions to the challenges that they address. …

… in DSM, identify the key challenges and suggest solutions from the existing literature. There
is … the challenges related to the application of ML for soil mapping and suggest solutions from …