Mak, abah... Redailah anakmu : Tips Memenangi Hati Ibu Bapa / by Siti Nor Bahyah Mahamood, Dato', 1966-, author 294046, Fatimah Syarha Mohd. Noordin, author 377569, Ida Ezyani Othman, author 272241

Ringkasan KEHIDUPAN AWAL MUALLAF DALAM FIQAH MUALLAF : INDAHNYA HIDAYAH ILAHI DALAM HATI MUALLAF / by Mohammad Nidzam Abdul Kadir 400797, author

Perbandingan kaedah pengekstrakan mikroplastik dalam makanan terproses budu menggunakan air suling dan kalium hidroksida by Azwan Mat Lazim, Nahrusyifa Abdul Karim, Nurfarah Dyana Bakri

“…Walau bagaimanapun, kehadiran mikroplastik jenis nilon dan logam berat mungkin akan menimbulkan kebimbangan terhadap potensi impaknya kepada kesihatan manusia. …”
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Natural language processing in urology: automated extraction of clinical information from histopathology reports of uro-oncology procedures by Huang, Honghong, Lim, Fiona Xin Yi, Gu, Gary Tianyu, Han, Matthew Jiangchou, Fang, Andrew Hao Sen, Chia, Elian Hui San, Bei, Eileen Yen Tze, Tham, Sarah Zhuling, Ho, Henry Sun Sien, Yuen, John Shyi Peng, Sun, Aixin, Lim, Jay Kheng Sit

“…Methods: Our algorithm employs a combination of a rule-based approach and support vector machines/neural networks (BioBert/Clinical BERT), and is optimised for accuracy. …”
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A data mining method to extract traffic network for maritime transport management by Liu, Zhao, Gao, Hairuo, Zhang, Mingyang, Yan, Ran, Liu, Jingxian

“…The method is applied to AIS data in the Beibu Gulf, and the results show that the traffic network contains 12 stop areas, 4 entry/exit locations, 13 main routes as well as their corresponding navigation channels. …”
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Analisis Elemen Niat Dalam Konsep Kepenggunaan Islam by Abdullah, Azmawida, Mohd Noor, Mohd Murshidi, Md Yusof, Syarifah

“…Bahkan pada hari ini masyarakat Muslim kurang mengambil berat perihal berkaitan niat apatah lagi niat dalam aktiviti seharian. …”
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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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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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Large scale paired antibody language models by Kenlay, H, Dreyer, FA, Kovaltsuk, A, Miketa, D, Pires, D, Deane, CM

“…To address this challenge, we present IgBert and IgT5, the best performing antibody-specific language models developed to date which can consistently handle both paired and unpaired variable region sequences as input. …”

Deformation of peat soil reinforcement settlement using single-layer bamboo dendrocalamus asper by Md Yusof, Z, Khairul Anuar, N A, Abu Talib, M K, Md Dan, M F, Mohammad Noh, N

“…The result shows that the soil collected at Kampung Parit Puteri Menangis, Benut, Johor has a moisture content of 672%, specific gravityof 1.23, organic content of 88.34 – 96.19%, fiber content of 38.1%, and categories H4 to H6 (Hemic). …”
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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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Efficacy of five insecticides against bagworm, Metisa plana Walker and their side effects on oil palm pollinator, Elaeidobius kamerunicus Faust by Syed Mohamed, Syed Mazuan

“…A ground study was conducted in FELDA Gunung Besout 04, Perak, with its main focus on mistblower application towards M. plana, and its side effects on Elaeidobius kamerunicus. …”
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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. …”

Manifestasi unsur eufemisme dalam novel Mental karya Shaz Johar berdasarkan Teori Medan Semantik by Tazudin, Nor Aisyah Hafiza

“…Medium seperti media sosial, media elektronik, malah juga media cetak seperti bahan berbentuk bacaan sama ada ringan atau berat, yang menjadi wahana sajian masyarakat hari ini menjadi salah satu faktor berlakunya kepincangan ini. …”
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SYARAH HADIS 40 : Huraian dan Penjelasan tentang Hadis-hadis Dasar Islam / by Ibn al-ʻAttar, ʻAli ibn Ibrahim, 1256-1324 655422, Mohd. Solleh Ab. Razak, translator 549660

Targeting TFEB and TFE3 in iPSC-derived dopaminergic neurons to correct autophagic/lysosomal deficits in Parkinson's disease by McGuinness, W

#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

“…We use pre-trained deep learning language models (BERT) to predict the emoji attached to a student’s post and then study the extent to which this model generated in an introductory biology course can be generalized to predict student emoji usage in other courses.…”
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