Intelligent elderly care II by Low, Jia Xin.

“…Digi International XBee modules, which make use of the low-power-consumption ZigBee technology, are the wireless transmitting modules implemented in this project. …”
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TFIDF meets deep document representation : a re-visit of co-training for text classification by Chen, Zhiwei

“…In this paper, we conduct exper- iments to evaluate the effectiveness of co-training with different combina- tions of document representations (e.g., TFIDF, Doc2vec, ELMo, BERT) and classifiers (e.g., SVM, Random Forest, XGBoost, MLP, and CNN) on two benchmark datasets (20 Newsgroup and Ohsumed). …”
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Regression analysis ofr characterization of materials for photovoltaic cells by Vundavalli, Bala Satya Manikanta

“…The traditional Design-of-Experiments (DoEs) adapted so far, are slow and the information obtained sometimes bears little relevance to optimizing the key performance parameters of merit. …”
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De novo genome sequence assembly of the RNAi-tractable endosymbiosis model system Paramecium bursaria 186b reveals factors shaping intron repertoire by Leonard, G, Jenkins, BH, Savory, FR, Kilias, ES, Maguire, F, Varma, V, Milner, DS, Richards, TA

Mitigating fading effects for mobile communications by Balaji, Srinivasan

“…Performance comparison parameters like signal-to-noise ratio (SNR), bit error rate (BER) etc. are calculated and analyzed. Mitigation using diversity combining techniques is then analyzed and implemented in these fading environments. …”
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#let’s-discuss: Analyzing Students’ Use of Emoji when Interacting with Course Readings by Blobstein, Ariel, Facciotti, Marc T., Igo, Michele, Karger, David, Ravi, Prerna, Sripathi, Kamali, Gal, Kobi

“…While popular in social media, their use in educational contexts has been sparsely studied even though emoji can be a natural way for students to express what they are feeling about the learning material. …”
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A perspective on the role of point-of-care "immuno-triaging" to optimize COVID-19 vaccination distribution in a time of scarcity by Zhang, Yi, Rogers, Angela, Nadeau, Kari, Gu, Jun, Yang, Samuel

“…Vaccine bears hope to bring COVID-19 pandemic under control. …”
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Spam and scam detection through text analysis by Prawira, Nathania Anggraini

“…The experimental model comparison was made between the integration of a single and multiple classifiers in BERT model. Some programming modules, such as, PyTorch, Scikit-Learn, Keras, spaCy and Natural Language Toolkit (NLTK) were widely used in this experiment.…”
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Performance evaluations of fast frequency-hopped spread-spectrum communication systems with partial-band noise jamming and multitone jamming by Teh, Kah Chan.

“…The effects of additive white Gaussian noise (AWGN)are also taken into consideration. The bit-error rate (BER)expressions presented in this thesis are applicable to higher diver-sity levels without much extra computational complexity. …”
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Presence of host-seeking Ixodes ricinus and their infection with Borrelia burgdorferi sensu lato in the Northern Apennines, Italy by Ragagli, C, Mannelli, A, Ambrogi, C, Bisanzio, D, Ceballos, LA, Grego, E, Martello, E, Selmi, M, Tomassone, L

Chinese poem generation using natural language processing by Wang, Jihan

“…Additionally, auxiliary functions were developed, including a sequence-to-sequence model to facilitate classical and modern Chinese translation for users to better comprehend classical Chinese, and a BERT model for keyword extraction to aid users' understanding of the text. …”
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Federated learning for natural language processing in medical domain by Saraf, Ishita

“…The study compares the performance of centralized training and federated learning for fine-tuning a BERT-based conversational agent on a medical conversation dataset, serving as a stepping-stone for future research into federated learning for LLM-led NLP applications.…”
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Performance study of rotated QAM signals over Interference and fading channels by Khui, Kenneth Yi Cheng

“…Using MATLAB simulations, this project will evaluate the Bit Error Rate (BER) performance against Signal-to-Noise Ratio (SNR) across two fading channels, namely Rayleigh and Rician fading channels, along with Additive White Gaussian Noise (AWGN). …”
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A highly strained Al-Al σ-bond in dianionic aluminum analog of oxirane for molecule activation by Koshino, Kota, Kinjo, Rei

“…The structure of 2 has been unambiguously ascertained by spectroscopic analysis as well as X-ray crystallography, and computational studies revealed that 2 bears a highly strained Al-Al σ-bond. 2 readily reacts with the unsaturated substrates such as isocyanide, ethylene, and ketone, concomitant with the cleavage of the Al-Al σ-bond under mild conditions, leading to the four- and five-membered heterocycles 3-5. …”
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Ozone reaction with interior building materials: Influence of diurnal ozone variation, temperature and humidity by Rim, Donghyun, Maddalena, Randy L., Nazaroff, William W., Gall, Elliott Tyler

“…Reactive uptake of ozone has been characterized for many building materials; however, scant information is available on how diurnal variation of ambient ozone influences ozone reaction with indoor surfaces. …”
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Carbon-semiconductor hybrid nanostructures and their photoresponse behaviors by Zhan, Zhaoyao

“…Carbon nanomaterials are unique in terms of structure, carbon nanotube (CNT) bears a hollow one-dimensional structure; and graphene is an one-atom-thick sheet and has extremely high specific surface area; both of them are presenting excellent charge transport capability. …”
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Mode of action study for a novel class of antimicrobial polymers against methicillin-resistant Staphylococcus aureus by Shi, Zhenyu

“…The development of antibiotics has been hampered by the rapid evolution of antimicrobial resistance and lack of new mechanisms discovered. …”
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Hierarchical document representation for summarization by Tey, Rui Jie

“…HIWESTSUM is very light in weight with parameter size over 10 times smaller than current existing models that fine-tune BERT for summarization. Moreover, the proposed model is faster than SOTA models with shorter training and inference time. …”
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Development of an API for EDU segmentation by Liu, Qingyi

“…This is done by finetuning pretrained models such as BERT as well as using the PosTag embeddings as additional input features. …”
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A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs by Mao, X, Huang, Y, Jin, Y, Wang, L, Chen, X, Liu, H, Yang, X, Xu, H, Luan, X, Xiao, Y, Feng, S, Zhu, J, Zhang, X, Jiang, R, Zhang, S, Chen, T

“…PhenoBrain utilizes a BERT-based natural language processing model to extract phenotypes from clinical texts in EHRs and employs five new diagnostic models for differential diagnoses of rare diseases. …”