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The binary cross-entropy (BCE) loss function is widely utilized in multi-label classification (MLC) tasks, treating each label independently. The log-sum-exp pairwise (LSEP) loss, which emphasizes higher logits for positive classes over negative ...

Alzheimer's disease is a disease that causes cognitive impairment. There is no cure for Alzheimer's disease, but the progression can be slowed down or halted. It is possible to treat the symptoms of Alzheimer's disease through the use of different ...

In this work, we present a blockchain-based federated learning (FL) framework that aims achieving high system efficiency while simultaneously addressing issues relating to data sparsity and the disclosure of private information. It is more ...

This document describes protocol-independent methods called Explicit Host-to-Network Flow Measurement Techniques that can be applicable to transport-layer protocols between the client and server. These methods employ just a few marking bits inside the ...

This document describes how the Alternate-Marking Method can be used as a passive performance measurement tool in an IPv6 domain. It defines an Extension Header Option to encode Alternate-Marking information in both the Hop-by-Hop Options Header and ...

This document generalizes and expands the Alternate-Marking methodology to measure any kind of unicast flow whose packets can follow several different paths in the network; this can result in a multipoint-to-multipoint network. The network clustering ...

• We propose a new intra-class loss called Center Prediction Loss (CPL). To the best of our knowledge, it is the first attempt to use the property of center ...

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The training loss function that enforces certain training sample distribution patterns plays a critical role in building a re-identification (ReID) system. Besides the basic requirement of discrimination, i.e., the features ...

Segmentation of objects in an image is considered crucial as it helps to work with or focus on a specific area of the image. For instance, there is a big image or video which consists of frames and whose resolution is big, making it difficult to ...

Relation classification (RC) is a fundamental task to building knowledge graphs and describing semantic formalization. It aims to classify a relation between the head and the tail entities in a sentence. The existing RC method mainly ...

This document defines the format for the IANA Registry of Performance Metrics. This document also gives a set of guidelines for Registered Performance Metric requesters and reviewers.

Wireless communication is more prone to random loss than wired communication because of noise and mobility. Over years researchers have developed TCP variants that do not decrease the send window when random loss arises. Years ago it was introduced ...

The emergence of a digital marketplace in the world and especially in Brazil around 2012 has innovated the way merchants and consumers use technology to commercialize products and services. Consumers are able to search for products and services from ...

• Epilepsy seizure classification using deep neural network.
• DNN gives good ...

Misdiagnosis of epilepsy is more seen in manual analysis of electroencephalogram (EEG) signals for epileptic seizure event detection. Therefore, automated systems for epilepsy detection are required to help neurologists in diagnosing ...

Because effects of climate change and an increase in elements at risk, mountain hazard loss increased throughout Europe. Yet, factors influencing loss, i.e. vulnerability, have gained less attention to date. Vulnerability is defined as ...

• We assess physical vulnerability of buildings exposed to torrential hazards.
• A ...

One of methods for loss reduction and reliability improvement of radial distribution system is using of renewable energy generation. In this paper, a new optimal placement and sizing of renewable energy sources based on photovoltaic ...

• MOTLBOGWO is proposed for optimal placement and sizing of PVs and WTs.
• The ...

In this paper, we explore the potential of regulatory focus theory as a framework for personalizing human-machine interactions. We manipulate framing (gain or loss) of a collaborative word-guessing game where a fully-automated virtual human gives clues. ...

Internet gaming disorder (IGD) is a behavioral addiction that is gradually becoming a public health problem. We aimed to identify the behavioral characteristics of adolescents with IGD to promote early diagnosis and intervention. As impulsivity and risk ...

In this paper, the modulation modes of two telemetry signals are analyzed based on the regenerative PN code ranging. One is the telemetry signal modulated by square wave, and the other is GMSK modulated signal. This paper focuses on analyzing the ...

This paper focuses on the issues about road traffic accident losses' estimation and security governance, which is paid close attention to in theoretical research and practical application analysis. Firstly, from the external economics view dividing into ...

Research indicates that perceptions of risk and loss affect decision-making. Entrepreneurship presents a context in which risk, failure, and loss frequently frame decisions. This paper presents a review of the entrepreneurship literature that is ...