Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
Swift detection of xss attacks: Enhancing xss attack detection by leveraging hybrid semantic embeddings and ai techniques
Abstract Cross-Site Scripting (XSS) attacks continue to be a significant threat to web
application security, necessitating robust detection mechanisms to safeguard user data and …
application security, necessitating robust detection mechanisms to safeguard user data and …
Detection of conspiracy propagators using psycho-linguistic characteristics
The rise of social media has offered a fast and easy way for the propagation of conspiracy
theories and other types of disinformation. Despite the research attention that has received …
theories and other types of disinformation. Despite the research attention that has received …
Towards artificial intelligence augmenting facilitation: AI affordances in macro-task crowdsourcing
H Gimpel, V Graf-Seyfried, R Laubacher… - Group decision and …, 2023 - Springer
Crowdsourcing holds great potential: macro-task crowdsourcing can, for example, contribute
to work addressing climate change. Macro-task crowdsourcing aims to use the wisdom of a …
to work addressing climate change. Macro-task crowdsourcing aims to use the wisdom of a …
Disclosing corporate diversity
AO Adediran - Va. L. Rev., 2023 - HeinOnline
Since 2020, diversity has become a central concern for companies and their leaders,
prompting more companies to voluntarily incorporate diversity into their Environmental …
prompting more companies to voluntarily incorporate diversity into their Environmental …
Using large language models for natural language processing tasks in requirements engineering: A systematic guideline
Large Language Models (LLMs) are the cornerstone in automating Requirements
Engineering (RE) tasks, underpinning recent advancements in the field. Their pre-trained …
Engineering (RE) tasks, underpinning recent advancements in the field. Their pre-trained …
Semantic Sentiment Classification for COVID‐19 Tweets Using Universal Sentence Encoder
The spread of data on the web has increased in the last twenty years. One of the reasons is
the appearance of social media. The data on social sites describe many real‐life events in …
the appearance of social media. The data on social sites describe many real‐life events in …
A survey on knowledge-enhanced multimodal learning
Multimodal learning has been a field of increasing interest, aiming to combine various
modalities in a single joint representation. Especially in the area of visiolinguistic (VL) …
modalities in a single joint representation. Especially in the area of visiolinguistic (VL) …
SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration
In agile requirements engineering, Generating Acceptance Criteria (GAC) to elaborate user
stories plays a pivotal role in the sprint planning phase, which provides a reference for …
stories plays a pivotal role in the sprint planning phase, which provides a reference for …
Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color space
Image colorization technique is used to colorize the gray-level image or single-channel
image, which is a very significant and challenging task in image processing, especially the …
image, which is a very significant and challenging task in image processing, especially the …