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While techniques for evaluating the performance of lower-level document analysis tasks such as optical character recognition have gained acceptance in the field, attempts to formalize the problem f

Self-supervised learning (SSL) has become the de facto training paradigm of large models where pre-training is followed by supervised fine-tuning using domain-specific data and labels.

The indoor evaluations in a modern office building using V-band and E-band systems are reported.

We describe algorithms for priority queues, including improvements to the top-down splay tree, and detail the results of hold- model experiments performed on a Sun 3/260 workstation and on a Vax 11

Heavily-optimizes decision procedures for propositional modal satisfiability are now becoming available.

Content-centric networking proposals have recently emerged to redesign the Internet architecture around named data rather than host addresses.

In system availability engineering, industry focus has typically been on preventing underlying hardware and software defects and predicting system reliability during the development cycle.

We evaluate the energy efficiency of dynamic optical bypass for decentralized content delivery networks (CDNs).

Many software-development organizations have recently started to adopt agile practices in order to benefit from the improvements they clearly bring, in terms of production speed and software qualit

Flooding is a technique used by link state routing protocols to exchange network status information.

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AI-enhance wireless reliability: joint source and channel coding for robust 6G air interface

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A 2025 recap of "a bit of tech"