Wearable sensor technology has gradually extended its usability into a wide range of well-
known applications. Wearable sensors can typically assess and quantify the wearer's …

Purpose This paper presents a review of the existing state-of-the-art literature on machine
learning (ML) in logistics and supply chain management (LSCM) by analyzing the current …

Software-Defined Networks (SDN) is an emerging area that promises to change the way we
design, build, and operate network architecture. It tends to shift from traditional network …

Amidst the global pandemic and catastrophe created by 'COVID-19', every research
institution and scientist are doing their best efforts to invent or find the vaccine or medicine …

The present era is facing the industrial revolution. Machine-to-Machine (M2M)
communication paradigm is becoming prevalent. Resultantly, the computational capabilities …

Supervised or unsupervised classification is the main objective of pattern recognition. The
statistical approach is the most popular approach that is practised among the several …

In der handwerklichen Fertigung von Spezialprodukten wird dem Kunden eine lange
Einflussnahme auf das Endergebnis eingeräumt. Aufgrund dessen treten extern wie intern …

Wearable sensor technology is often used in healthcare environments for monitoring,
diagnosis and recovery of patients. Wearable sensors can be used to detect movement …

Cashless payment methods are growing in popularity, especially in the backdrop of the
COVID19 pandemic. Credit cards are a key instrument within the cashless payment. Retail …

Аннотация В последнее время все большее внимание уделяется схеме нейронных
сетей и методологии теории статистического обучения. Это требует внимания при …