Lightweight transformers for clinical natural language processing by Rohanian, O, Nouriborji, M, Jauncey, H, Kouchaki, S, Nooralahzadeh, F, Clifton, L, Merson, L, Clifton, DA

“…Our extensive evaluation was done across several standard datasets and covered a wide range of clinical text-mining tasks, including natural language inference, relation extraction, named entity recognition and sequence classification. …”

A case study on the application of new media technology and market expansion of rural enterprises in Central China by Liu, Meng, Wan Abas, Wan Antia, Mamat, Roslina

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Site suitability assessment for selected nature-based solution (NBS) in flood-prone area by Ibrahim, Balqis, Ash'aari, Zulfa Hanan, Zulkafli, Zed

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Understanding mental health content on social media and it’s effect towards suicidal ideation by Bhuiyan, Mohaiminul Islam, Nur Shazwani, Kamarudin, Nur Hafieza, Ismail

“…The study “Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation” aims to detail the recognition of suicidal intent through social media, with focus on the improvement and part of the machine learning (ML), deep learning (DL), and natural language processing (NLP). …”
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Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions by Kruse, Jakob Adrian, Ciechanowski, Leon, Dupuis, Ambre, Vazquez, Ignacio, Gloor, Peter A.

“…Thus, using plants as an emotion recognition tool seems worth investigating, addressing both cost and privacy concerns.…”
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‘Maturing out’ as dilemmatic: transitions towards relatively light drinking practices among UK University students by Conroy, Dom, Morton, Charlotte, Griffin, Christine

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Lower limb torque prediction for sit-to-walk strategies using long short-term memory neural networks by Perera, Chamalka Kenneth, Gopalai, Alpha A., Gouwanda, Darwin, Ahmad, Siti A., Teh, Pei-Lee

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No Oral Modification clauses to the test: how relevant are they in the COVID-19 shock and beyond? by Magklasi, Ioanna, Magklasi, Eleni

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A prospective observational study comparing rates of medical instability between adolescents with typical and atypical anorexia nervosa by Brennan, Cliona, Cini, Erica, Illingworth, Sarah, Chapman, Simon, Simic, Mima, Nicholls, Dasha, Chapman, Victoria, Simms, Conor, Hayes, Ellen, Fuller, Sarah, Orpwood, Jade, Tweedy, Nicola, Baksh, Tahmida, Astaire, Emma, Bhakta, Dee, Saglio, Eloise, Stevenson, Annie, Buchbinder, Melissa

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Audio-based approaches in tuning retrieval of gamelan ensemble by Hamdan, Sinin

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Building AI Applications with ChatGPT APIs : Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects / by Yanev, Martin, author 656265

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HST.723 Neural Coding and Perception of Sound, Spring 2003 by Delgutte, Bertrand, Brown, Merritt Christian, Guinan, John Joseph, Melcher, Jennifer R., Oxenham, Andrew J., Brown, M. Christian, Melcher, Jennifer R.

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Energy efficient resource migration based load balance mechanism for high traffic applications IoT by Kumar, Sunil, Cengiz, Korhan, Vimal, Suresh, Suresh, A.

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Mobile-based mathematical question search system by Wu, Qinxin

“…Mathematics is a subject that can incorporate technology into the learning and teaching materials due to its special nature in terms of the formula, special symbols, pictures that are presented in the question body, instead of just plain texts. This problem is not trivial since the mathematical documents are highly symbolic and structured, increasing the complexities of information retrieval and content display. …”
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Human Centered Computing : 66th International Conference, HCC 2020, Virtual Event, December 14-15, 2020 : Revised Selected Papers / by HCC (Conference : Human Centered Computing) (6th : 2020 : Online), organiser 642973, Zu, Qiaohong, editor 642970, Tang, Yong, editor 642971, Mladenović, Vladimir, editor 642972

Leveraging linguistic knowledge to enhance low-resource NLP applications by Zhu, Zixiao

“…Natural Language Processing (NLP) empowers computers to process and analyze vast amounts of text data. The introduction of pre-trained language models (PLMs) has significantly advanced NLP by incorporating deep learning algorithms, thereby enhancing the handling of natural language understanding (NLU) tasks. …”
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Human-Computer Interaction : Interaction Techniques and Novel Applications : Thematic Area, HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Even... by International Conference on Human-Computer Interaction (23rd : 2021 : Online) 642922, Kurosu, Masaaki, 1948-, editor 573627

Intelligent Solutions for Sustainable Power Grids / by Kumar, L. Ashok, editor 623258, Angalaeswari, S., 1981-, editor 655486, K., Mohanasundaram, 1977-, editor 655487, Bansal, Ramesh C., editor 655488, Patil, Arunkumar, 1985-, editor 655489, IGI Global (Online service) 631983

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