IoT-Based Waste Segregation with Location Tracking and Air Quality Monitoring for Smart Cities

Review Environmental Sciences

A review on recent advancements in recovery of valuable and toxic metals from e-waste using bioleaching approach

P. R. Yaashikaa et al.

Summary: This review discusses the environmental pollution caused by printed circuit boards and the methods for recovering valuable and hazardous metals from e-wastes. It highlights the use of chemical, biological, and physical approaches for metal recovery, emphasizing the need for advanced recycling methods to address pollution challenges posed by PCBs.

CHEMOSPHERE (2022)

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Article Computer Science, Artificial Intelligence

Weight-Quantized SqueezeNet for Resource-Constrained Robot Vacuums for Indoor Obstacle Classification

Qian Huang

Summary: This paper aims to find an efficient deep AI model that achieves a good balance between classification accuracy and memory usage. A weight-quantized SqueezeNet model is proposed for robot vacuums, which can classify indoor debris and hazards. Experimental results show that this model achieves comparable classification accuracy while significantly reducing memory usage.

AI (2022)

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Article Ecology

The plight of camels eating plastic waste

Marcus Eriksen et al.

Summary: Plastic pollution has widespread ecological impacts, affecting dromedary camels in UAE and leading to mortality. The ingestion of plastic waste leads to the formation of polybezoars, causing gastrointestinal blockages and other health issues. Research recommends improved waste management and alternative packaging and delivery systems.

JOURNAL OF ARID ENVIRONMENTS (2021)

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Article Green & Sustainable Science & Technology

Environmental challenges from the increasing medical waste since SARS outbreak

Yujun Wei et al.

Summary: Medical waste is a special class of hazardous pollutants with spatial-temporal heterogeneity. Due to the development of healthcare and economy, the production of medical waste and pollutants has increased rapidly, with large hospitals as major sources. Future planning for medical waste disposal should focus on increasing disposal facilities based on population, improving efficiency, increasing the number of beds in medical institutions, and strengthening basic research on environmental impact.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Computer Science, Artificial Intelligence

Improving the Generalization Ability of Deep Neural Networks for Cross-Domain Visual Recognition

Jianwei Zheng et al.

Summary: This study proposes a transferable feature learning and instance-level adaptation method to enhance the generalization ability of deep neural networks and alleviate domain shift challenge in cross-domain visual recognition. Experimental results demonstrate the method's superior performance in the new target domain and across multiple tasks compared to existing methods.

IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems

Cong Hao et al.

Summary: Optimizing the quality of result and the quality of service for AI-empowered autonomous systems is challenging due to multiple input sources and tasks, as well as heterogeneous computing and control systems. Multi-modal multi-task learning is essential, with a focus on hardware performance and implementation strategies. Further exploration of MMMT in autonomous systems and software/hardware co-design solutions is advocated for improved solution quality and efficiency.

2021 IEEE 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS) (2021)

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Review Health Care Sciences & Services

Review of Current Healthcare Waste Management Methods and Their Effect on Global Health

Christina Kenny et al.

Summary: The healthcare industry is rapidly growing due to advancements in medical treatments, leading to an increase in demand and availability worldwide. However, this growth has also resulted in a surge of waste that is not being properly managed, leading to negative impacts on the environment and public health. Despite innovations in healthcare waste disposal, there is a lack of widespread implementation of greener methods due to cost and feasibility constraints. Global health consequences of healthcare waste disposal methods vary depending on the level of development in each country.

HEALTHCARE (2021)

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Review Green & Sustainable Science & Technology

Raising Awareness on Solid Waste Management through Formal Education for Sustainability: A Developing Countries Evidence Review

Justice Kofi Debrah et al.

Summary: Solid Waste Management (SWM) is a multifaceted issue involving political, economic, institutional, and environmental aspects in urban areas of developing countries. The gap in practical experience and education level among teachers affects students' practical implementation of SWM. Differences exist in knowledge, attitudes, and practices of SWM between teachers and students.

RECYCLING (2021)

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Article Environmental Sciences