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Artificial intelligence (AI) is a machine intelligence technology with vast potential for a smart industrial revolution. This study aims to create new electric-powered transportation such as bicycles, motorbikes, and other vehicles. The combination of high-speed, resiliency, and low-latency connection, as well as AI and Internet of Things (IoT) technologies, will enable the transformation to fully autonomous vehicles. This electric motorcycle tracks its speed, location, and other data using IoT logic. A smart charging system has also been developed to keep them ready to use effectively. The proposed research also reduces the damage to the environment efficiently.

The purpose of the startup approach is to find an appropriate course of action that adds value to the economy's development. This study is aimed to determine the effect of the lean startup approach with mediating effect of business coaching to foster innovative work behavior in women entrepreneurs. Additionally, the study also examines the moderating effect of age on the lean startup approach and innovative work behavior. A quantitative approach was employed. The findings show that the relationship between the lean startup approach and innovative work behavior is significant. Moreover, the findings also revealed a significant mediating effect of business coaching and moderating effect of age. This research encourages practitioners and scholars to deal with women entrepreneurship incubation initiatives in the lean startup methodology. Furthermore, this study also leads to a deeper understanding of women's ideas for business exploration, growth, and implementation. The study contends that guidelines and directives are critical for creative entrepreneurial behavior., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Na, Khalid, Raza, Ramirez-Asis, Huerta-Soto and Jahanger.)

Most approaches use interactive priors to find tumours and then segment them based on tumour-centric candidates. A fully convolutional network is demonstrated for end-to-end breast tumour segmentation. When confronted with such a variety of options, to enhance tumour detection in digital mammograms, one uses multiscale picture information. Enhanced segmentation precision . The sampling of convolution layers are carefully chosen without adding parameters to prevent overfitting. The loss function is tuned to the tumor pixel fraction during training. Several studies have shown that the recommended method is effective. Tumour segmentation is automated for a variety of tumour sizes and forms postprocessing. Due to an increase in malignant cases, fundamental IoT malignant detection and family categorisation methodologies have been put to the test. In this paper, a novel malignant detection and family categorisation model based on the improved stochastic channel attention of convolutional neural networks (CNNs) is presented. The lightweight deep learning model complies with tougher execution, training, and energy limits in practice. The improved stochastic channel attention and DenseNet models are employed to identify malignant cells, followed by family classification. On our datasets, the proposed model detects malignant cells with 99.3 percent accuracy and family categorisation with 98.5 percent accuracy. The model can detect and classify malignancy., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2022 Edwin Ramirez-Asis et al.)

The failure or success of an enterprise depends upon its working capital management practices (WCMP) along with effective corporate social responsibilities (CSR) and social entrepreneurship (SE). These factors ensure not only the soundness of financial indicators but also the profitability of an enterprise. Therefore, the objective of this study was to determine the impact of CSR, SE, and WCMP on the performance of small-medium enterprises (SMEs) of tourism sector, during the lockdown period in Malaysia. The goals also include the investigation of moderating role of employee behavior (EB) among the nexus of CSR, SE, WCMP, and performance of SMEs. The survey was performed to find out the practices adopted by the SMEs during corona days. A quantitative research method has been adopted to get data with convenient sampling technique, and PLS-SEM has been exploited to find out the significant nexus among CSR, SE, WCMP, and the performance of SMEs. The results indicate that CSR, SE, and WCMP have a positive association with the performance of SMEs in Malaysia. The results also indicate that EB positively moderates among the nexus of CSR, SE, WCMP, and the performance of SMEs in Malaysia. Stock review strategies by the SMEs during the corona days also exhibit significant differences except for no stock review. Significant differences between the enterprises show a lack of adaptation of the financial indicators that determine enterprise soundness. The study not only provides guidelines for entrepreneurs of SMEs but also helps in maintaining standards for the evaluation of the enterprises., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Li, Ahmad, Raza, Sawangchai, Ramirez-Asis and Asnate-Salazar.)