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Articles by Lee CM
Arabic speech emotion recognition (2015–2024): a systematic review of datasets, dialects, and classification methods
1Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia 2Department of Computer Science, Faculty of Information Technology, Applied Science Private University, Amman, Jordan 3Department of Computer Science, The World Islamic Sciences and Education University, Amman, Jordan 4School of Business, Monash University, Kuala Lumpur, Malaysia DOI 10.7717/peerj-cs.4021 Academic Editor Ankit Vishnoi Subject Areas...
Efficacy of atopic dermatitis alleviation through transcutaneous auricular vagus nerve stimulation in 2,4-dinitrochlorobenzene (DNCB)-induced mouse model temp.
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Randomization based shallow and federated-deep learning for smart grid security using label-encoded vulnerabilities and distributed LSTM computation
Effective cybersecurity systems are becoming increasingly important as we increasingly rely on smart infrastructure, particularly in critical sectors like electricity. With its ability to provide insights into possible assaults and hostile behaviors, cyber-threat-intelligence (CTI) has become a vital part of the defending against complex cyber threats (Alaeifar et al., 2024; Sun et al., 2023).
Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications
Automation in healthcare processes through the application of artificial intelligence (AI) has the capacity to bring transformative changes. However, in most AI applications, the predominance reliance on unimodal data such as computed tomography (CT) scans, magnetic resonance imaging (MRI), X-rays images etc. presents unique challenges in modern healthcare applications.
Transcutaneous auricular vagus nerve stimulation mitigates gouty inflammation by reducing neutrophil infiltration in BALB/c mice
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The impact of three thioxothiazolidin compounds on trehalase activity and development of Spodoptera frugiperda larvae
Yan Wu conceived and designed the experiments, authored or reviewed drafts of the article, supervision, and approved the final draft. Shangrong Hu conceived and designed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft. Qixuan Mao performed the experiments, prepared figures and/or tables, visualization, and approved the final draft.
Adoption of CRISPR-Cas for crop production: present status and future prospects
1Food Security and Safety Focus Area, Faculty of Natural and Agricultural Sciences, University of North-West, Mmabatho, South Africa 2School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China DOI 10.7717/peerj.17402 Academic Editor Anshuman Singh Subject Areas Agricultural Science, Bioengineering, Biotechnology, Microbiology, Plant Science Keywords Genetic engineering, CRISPR-Cas9, Genome editing, Food security, Environmental stressors Copyright © Licence This is an...
A review of social background profiling of speakers from speech accents
Speaker profiling is the process of estimating the characteristics of an unknown speaker using a classification model that has no prior instance of speeches from the speaker to be profiled. Identification of a speaker’s social origin considering the speech accent characteristics is termed as social background profiling of speakers. The social background of speakers heavily influences their accents in pronouncing different phonemes and the pattern of using them in their speech.
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
Electrical energy is a crucial commodity for the country’s economic growth and is also essential to fulfilling daily activities in every walk of life. Therefore, its demand is rising exponentially worldwide due to its widespread use in both the production industrial sector and non-production sectors.
A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting
Additional Information and Declarations Competing Interests The authors declare that there are no competing interests. Author Contributions Chun-Hua Wang conceived and designed the experiments, performed the experiments, analyzed the data, performed the computation work, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.
A Culinary Misadventure: A Case Report of Shiitake Dermatitis
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1-Methoxyerythrabyssin II Induces Autophagy in Leukemia Cells via PI3K/Akt/mTOR Pathways
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Impact of T-cell Engagers on COVID-19-related Mortality in B-cell Lymphoma Patients Receiving B-cell Depleting Therapy
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Dynamic relations among simultaneous alcohol and cannabis use, subjective responses, and problem drinking during naturally occurring drinking episodes - PubMed
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QTL mapping and improvement of pre-harvest sprouting resistance using japonica weedy rice
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Myocardial Flow Assessment After Heart Transplantation Using Dynamic Cadmium-Zinc-Telluride Single-Photon Emission Computed Tomography With 201Tl and 99mTc Tracers and Validated by 13N-NH3 Positron Emission Tomography - PubMed
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Effect of Wearing Personal Protective Equipment (PPE) for COVID-19 Treatment on Blood Culture Contamination: Implication for Optimal PPE Strategies
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Short-term outcomes and cost-effectiveness of laparoscopic gastrectomy with articulating instruments for gastric cancer compared with the robotic approach - PubMed
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Bombardiers and assassins: mimetic interactions between unequally defended insects
Data analysis All analyses were performed using R version 3.5.2 (R Core Team, 2018). Fisher’s exact test was used to compare the rates of rejection by frogs between bombardier beetles and assassin bugs. Welch’s t-test was used to compare the body size (body length and weight) of bombardier beetles and assassin bugs; it was also used to compare the body size (snout–vent length and body weight) of pond frogs that attacked bombardier beetles and assassin bugs.
A novel artificial intelligence-based predictive analytics technique to detect skin cancer
Introduction Skin cancer is brought on by malignant tumors, which develop when the proliferation of abnormal skin cells is left unchecked (Nandhini et al., 2021). The majority of cancer cases are caused by unprotected skin being exposed to UV radiation (Reichrath, 2020). Nowadays, 95 percent of skin malignancies diagnosed are squamous or carcinoma and 5 percent are melanomas (Daniels et al., 2020).
Gut-on-a-Chip for the Analysis of Bacteria-Bacteria Interactions in Gut Microbial Community: What Would Be Needed for Bacterial Co-Culture Study to Explore the Diet-Microbiota Relationship? - PubMed
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Genetic characterization of hepatitis B virus genotypes among patients with chronic infection in Sulaimaniyah city, Iraq
Discussion The HBV infection is not uncommon in Iraq; the prevalence of this viral infection was estimated between 0.67–1.37%, according to some research in Iraq (Hussein et al., 2021; Othman & Abbas, 2020; Babanejad et al., 2016). However, there was an underestimation of the HBV prevalence in Iraq. Most studies detected only HBsAg as a marker of prevalence and did not measure the total anti-Hepatitis B core antibodies as an additional marker.
The Protective Role of Perceived Control on Associations Between Job Loss, Financial Difficulties, and Substance Use Among Young Adults Early in the COVID-19 Pandemic - PubMed
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