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101
Synchronization-based graph spatio-temporal attention network for seizure prediction
Published 2025-02-01Subjects: “…Seizure prediction…”
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102
ISLRWR: A network diffusion algorithm for drug-target interactions prediction.
Published 2025-01-01“…Notably, the ISLRWR algorithm improved the area under the receiver operating characteristic curve (AUROC) by 7.53 and 5.72%, and the area under the precision-recall curve (AUPRC) by 5.95 and 4.19% compared to the RWR and MHRW algorithms, respectively, in predicting DTIs performance. Moreover, after excluding the interference of homologous proteins (popular drugs or targets may lead to inflated prediction results), the ISLRWR algorithm still showed a significant performance improvement.…”
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103
Evaluation of machine learning models for the prediction of Alzheimer's: In search of the best performance
Published 2025-03-01Subjects: Get full text
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104
Credit risk prediction with corruption perception index: machine learning approaches
Published 2025-12-01“…This study examines the impact of corruption on credit risk in Southeast Asian commercial banks by using machine learning models to predict non-performing loans (NPLs) based on the Corruption Perception Index (CPI). …”
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105
A deep ensemble learning framework for glioma segmentation and grading prediction
Published 2025-02-01Subjects: “…Segmentation and grading prediction…”
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106
Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability
Published 2025-02-01Subjects: “…Neurodegenerative disease prediction…”
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107
Aquatic Toxicology Notes: Predicting the Fate and Effects of Aquatic and Ditchbank Herbicides
Published 2006-05-01Get full text
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108
Evaluation of the PANS method for the prediction of the fluid flow in a cyclone separator
Published 2023-05-01“…Even though classic models such as RSM and LES can effectively predict such type of flow, the quality of the results and the computation cost can be discussed. …”
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109
Prediction of Claim Fund Reserves in Insurance Companies Using the ARIMA Method
Published 2025-01-01Subjects: “…prediction…”
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110
MKER: multi-modal knowledge extraction and reasoning for future event prediction
Published 2025-01-01Subjects: “…Future event prediction…”
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111
Critical length parameter of HDPE and its use in fatigue lifetime predictions
Published 2024-11-01Subjects: Get full text
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112
Aquatic Toxicology Notes: Predicting the Fate and Effects of Aquatic and Ditchbank Herbicides
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113
Crime Prediction Using Decision Tree (J48) Classification Algorithm.
Published 2018Subjects: “…crime prediction; machine learning; decision tree; J48; artificial intelligence; Classification Algorithms.…”
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114
Validity of E-PASS Score for Evaluating Perioperative Minor Complications Associated with Carotid Endarterectomy
Published 2025-01-01Subjects: Get full text
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115
Stock price prediction with attentive temporal convolution-based generative adversarial network
Published 2025-03-01Subjects: “…Stock price prediction…”
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116
Demographic-Based Algorithm Used to Predict the Implant Sizing in Total Knee Arthroplasty
Published 2023-07-01“…Background: Prediction of the accurate implant improves preparedness for surgery and helps to reduce intraoperative difficulties. …”
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117
ANALYSIS TO PREDICTE THE NUMBER OF NEW STUDENTS AT UNU PASURUAN USING ARIMA METHOD
Published 2025-02-01“…The largest prediction of the number of new students is in July, which is 92.72 and the smallest in February, which is 24.43. …”
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118
EVALUATION OF THE MODEL PREDICTION TOXICITY (LD50) FOR SERIES OF 42 ORGANOPHOSPHORUS PESTICIDES
Published 2019-03-01“…A model with three descriptors, including: total lipophilicity [log (P)], widths radicals R1 [(LR1)] and R2 [(LR2)] has achieved good results in phase Training and phase prediction of toxicity [log LD50 (lethal dose 50, Oral rat)]. …”
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119
Leaving Before Completing: How Course Withdrawal Predicts College Student Success
Published 2024-12-01Get full text
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120
Traffic Flow Prediction Based on Large Language Models and Future Development Directions
Published 2025-01-01“…As the application of deep learning in intelligent transportation systems becomes increasingly widespread, the accuracy and reliability of traffic flow prediction have become crucial. However, existing deep learning methods are often complex in model design and lack intuitiveness, making it challenging to provide responsible explanations for traffic predictions. …”
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