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…as VGG, ResNet and Inception module are central topics, this paper will examine recent multimodal deep models and structures, including auto-encoders, generative adversarial nets and their variants. These models go…
…in disease pathogenesis and lead to the development of clinically relevant biochemical marker panels. More sensitive and specific biochemical marker immunodetection will complement imaging biomarkers and ensure evidence-based comparisons of…
…head around the 6G vision and while thinks the real revolution is yet to come, he has a pretty good idea where it will come from. “Google’s federated learning is…
This article presents a feasibility study on the transmission of information through the biological tissues exploiting light. The experimental results demonstrating the potentials of optical wireless communications through biological tissues…
…capacitance, etc. A common-source cascode device is commonly used in amplifier designs at RF/millimeter-wave (mmWave) frequencies. In addition to intrinsic parasitic components, extrinsic components due to wiring and layout effects,…
…and healthcare services in a contact-less manner. The edge computing paradigms offer a de-centralized and versatile networking infrastructure capable of adhering to the novel demands of 5G. In this article,…
…a promising tool for dimensionality reduction, channels fusion and capturing various artifacts patterns in temporal-spatial domains. A simplified version of proposed approach was also shown to be feasible in real-time…
Industrial wireless networks are pushing towards distributed architectures moving beyond traditional server-client transactions. Paired with this trend, new synergies are emerging among sensing, communications and Machine Learning (ML) co-design, where…
…within input frequency range of 1.9 GHz – 3.5 GHz with fractional division ratio in between 2–3. As an example of the operation, with a setting of an arbitrary division…
In this article, we propose a communication-efficient decentralized machine learning (ML) algorithm, coined quantized group ADMM (Q-GADMM) . To reduce the number of communication links, every worker in Q-GADMM communicates…