Results 101 to 110 of about 1,758,719 (322)
CNN-Based Time Series Decomposition Model for Video Prediction
IEEE AccessVideo prediction presents a formidable challenge, requiring effectively processing spatial and temporal information embedded in videos. While recurrent neural network (RNN) and transformer-based models have been extensively explored to address spatial ...
Jinyoung Lee, Gyeyoung Kim
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Molecular Oncology, EarlyView.A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul +11 more
wiley +1 more source
Earthquake magnitude prediction based on artificial neural networks: A survey
Croatian Operational Research Review, 2016 The occurrence of earthquakes has been studied from many aspects. Apparently, earthquakes occur without warning and can devastate entire cities in just a few seconds, causing numerous casualties and huge economic loss.
Emilio Florido +3 more
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Molecular Oncology, EarlyView.Non‐small cell lung cancer targeted treatment is limited to a few known genetic alterations, with few alternatives in advanced treatment lines. To direct treatment decisions by drug sensitivity testing (DST), this study compared several methods for tumor cell isolation from malignant effusions, pointing to repeated CD45+ cell depletion for effective ...
Navit Mooshayef +10 more
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Assessment and prediction of road accident injuries trend using time-series models in Kurdistan
Burns & Trauma, 2018 Background Road traffic accidents are commonly encountered incidents that can cause high-intensity injuries to the victims and have direct impacts on the members of the society. Iran has one of the highest incident rates of road traffic accidents.
Maryam Parvareh +6 more
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Molecular Oncology, EarlyView.In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková +14 more
wiley +1 more source
Time Series Prediction Based on Multi-Scale Feature Extraction
MathematicsTime series data are prevalent in the real world, particularly playing a crucial role in key domains such as meteorology, electricity, and finance. Comprising observations at historical time points, these data, when subjected to in-depth analysis and ...
Ruixue Zhang, Yongtao Hao
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Spectral Analysis and Linear Prediction of Meteorological Time Series [PDF]
, 1964 Richard H. Jones
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Chimeric diphtheria toxin–CCL8 cytotoxic peptide for breast cancer management
Molecular Oncology, EarlyView.DTCCL8 is a recombinant fusion toxin that targets cancer cells expressing chemokine receptors. By combining diphtheria toxin with CCL8, DTCCL8 binds to multiple receptors on tumor cells and induces selective cytotoxicity. This strategy enables receptor‐mediated targeting of cancer and may support the development of chemokine‐guided therapeutics ...
Bernardo Chavez +5 more
wiley +1 more source
Automatic prediction for IP backbone network traffic
Dianxin kexue, 2020 Efficient and reliable network traffic prediction is the basis of network planning and capacity expansion construction.Currently,there is no integral theoretical model to describe internet traffic.Most of the industry designs simplified and operable ...
Xuan WEI +4 more
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