Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: A systematic survey
Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …
and complex datasets but have been criticized as a black-box. This downside has recently …
Data stream analysis: Foundations, major tasks and tools
The significant growth of interconnected Internet‐of‐Things (IoT) devices, the use of social
networks, along with the evolution of technology in different domains, lead to a rise in the …
networks, along with the evolution of technology in different domains, lead to a rise in the …
Lean Startup, Agile Methodologies and Customer Development for business model innovation: A systematic review and research agenda
Purpose Startups have attracted increased attention over the past years. While
entrepreneurs develop startups to capture new business opportunities, also large …
entrepreneurs develop startups to capture new business opportunities, also large …
A survey of distributed data stream processing frameworks
Big data processing systems are evolving to be more stream oriented where each data
record is processed as it arrives by distributed and low-latency computational frameworks on …
record is processed as it arrives by distributed and low-latency computational frameworks on …
From decarbonization to low carbon development and transition: A systematic literature review of the conceptualization of moving toward net-zero carbon dioxide …
RW Wimbadi, R Djalante - Journal of cleaner production, 2020 - Elsevier
Abstract The Paris Agreement on climate change has calls for urgent, radical, and
transformative actions in mitigation and adaptation, particularly in terms of reducing …
transformative actions in mitigation and adaptation, particularly in terms of reducing …
Big data analytics on social networks for real-time depression detection
During the coronavirus pandemic, the number of depression cases has dramatically
increased. Several depression sufferers disclose their actual feeling via social media. Thus …
increased. Several depression sufferers disclose their actual feeling via social media. Thus …
Time series big data: a survey on data stream frameworks, analysis and algorithms
Big data has a substantial role nowadays, and its importance has significantly increased
over the last decade. Big data's biggest advantages are providing knowledge, supporting …
over the last decade. Big data's biggest advantages are providing knowledge, supporting …
An analysis of architecture, framework, security and challenging aspects for data aggregation and routing techniques in IoT WSNs
N Chandnani, CN Khairnar - Theoretical Computer Science, 2022 - Elsevier
Internet has evolved into a promising technology after going through various transitional
phases in the past decades. It was invented in the early nineties, with the web being static …
phases in the past decades. It was invented in the early nineties, with the web being static …
Machine learning research trends in Africa: a 30 years overview with bibliometric analysis review
AE Ezugwu, ON Oyelade, AM Ikotun… - … Methods in Engineering, 2023 - Springer
The machine learning (ML) paradigm has gained much popularity today. Its algorithmic
models are employed in every field, such as natural language processing, pattern …
models are employed in every field, such as natural language processing, pattern …
Big data analytics of iot-based cloud system framework: Smart healthcare monitoring systems
The field of the Internet of Things (IoT) is continuing in a fashion that will transform the
complete landscape of future Internet, and the devices have increased in recent years by …
complete landscape of future Internet, and the devices have increased in recent years by …