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This special issue provides a comprehensive overview of modern optimization tools and methods for the purposes of data-driven learning and control.

This special section provides a broad overview of the available approaches for breaking reciprocity for electromagnetic waves, and an outlook on this active field.

The special issue provides a comprehensive overview of the most promising current and novel approaches in the area of multienergy systems.

The articles in this month’s special issue provide insight into future computing technologies such as novel architectures, spintronic memories, and quantum computing.

The articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

This month’s regular papers focus on communication technologies for future smart railroad, robust pattern recognition, indoor millimeter-wave systems, and information transmission of haptic devices.

This special issue highlights the state of the art in active nano photonics, with an emphasis on new material platforms and meta material concepts to address the modern challenges in this field.

This month’s issue offers insight into efficient compression and execution of DNNs, the challenge of connecting rural areas, and the clique problem in wireless communication.

The month’s regular papers issue highlights the use of adversarial learning for defenses against attacks on deep neural network classifiers and the use of combinatorial optimization for GUI design.

This special issue provides a comprehensive overview of Internet-of-Vehicles-related technologies and solutions which address the current challenges in this field.

This special issue aims to define and highlight key ideas in biomedical imaging and analysis that shed a light on where the field is headed in the next decade.