Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions by Michael Mullin, James McClory, Winston Haynes, Justin Grace, Nathan Robertson, Gino van Heeke

“…Specifically, the utilization of machine learning for structural prediction, lead identification, lead optimization, and humanization of VHH antibodies.…”
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Modeling of Human Skin by the Use of Deep Learning by Xin Xiong, Xuexun Guo, Yiping Wang

“…This study concluded that adopting best strategy in selecting features and classification yields better prediction in emergency case before medicating the patient even during treatment.…”
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Evaluation of prognosis solutions for wind turbine using multi agent simulation of maintenance business by Junya WATANABE, Toshiaki KONO

“…However, it is difficult to predict in advance the quantitative effects of IoT solutions on the overall business. …”
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Gene function revealed at the moment of stochastic gene silencing by Shreyan Gupta, James J. Cai

“…Analysis of real data demonstrates that scSGS can reveal regulatory relationships up- and downstream of target genes, circumventing the survivorship bias that often affects gene knockout and perturbation studies. scSGS thus offers an efficient approach for gene function prediction, with significant potential to reduce the use of genetically modified animals in gene function research.…”
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Power Forecasting of Combined Heating and Cooling Systems Based on Chaotic Time Series by Liu Hai, Song Yong, Du Qingfu

“…Experimental results show that the maximum power point of the distributed generation system will be predicted based on the meteorological data. The system can be controlled effectively based on the prediction.…”
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A Method for the Inversion of Reservoir Effective Permeability Based on Time-Lapse Resistivity Logging Data and Its Application by Hairong Zhang, Bin Zhao, Shiqi Dong, Xixin Wang, Pengfei Jing

“…This study provides basic parameters for subsequent formation analyses and productivity prediction and substantially improves the reservoir evaluation technology from static to dynamic.…”
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Aerodynamics Optimization of a Ducted Coaxial Rotor in Forward Flight Using Orthogonal Test Design by Yuening Jiang, Hai Li, Hongguang Jia

“…Multiblock grids and Multiple Frame of Reference (MFR) method are adopted for calculating aerodynamic performance of the system, hover characteristic was compared with experimental data obtained from the test stand, and the thrust performance is well predicted for various rotor spacing and a range of rpm. …”
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The Relational Aspects of Luxury Consumption in Brazil: The development of a Luxury Customer Relationship Perception Scale and the Analysis of Brand Personality Influence on Relati... by Fernanda Scussel, Gisela Demo

“…As a secondary objective, we tested the relation between the dimensions of brand personality on relationship perception in the luxury context, confirming a prediction relation between these variables. Regarding our contributions, we propose a new metric for marketing literature, which enables future relational studies with other consumer behavior constructs. …”
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Gaussian barebone mechanism and wormhole strategy enhanced moth flame optimization for global optimization and medical diagnostics. by Jingjing Ma, Zhifang Zhao, Lin Zhang

“…Employing BWEMFO, we optimize the kernel parameters of the kernel-limit learning machine, thereby crafting the BWEMFO-KELM methodology for medical diagnosis and prediction. Subsequently, BWEMFO-KELM undergoes diagnostic and predictive experimentation on three distinct medical datasets: the breast cancer dataset, colorectal cancer datasets, and mammographic dataset. …”
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A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections by Zhongguo Yang, Sikandar Ali, Weilong Ding, Irshad Ahmed Abbasi, Muhammad Faizan Khan

“…Lane level traffic data such as average waiting time and flow data at each turn direction not only enable navigation systems to provide users with more detailed and finer-grained information; it can also pave the way for future traffic congestion prediction. Although few studies considered extracting traffic flow data from a video at the lane level, it is not clear how many vehicles required turn left in fine-grained lanes during a fixed time. …”
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Integrative prognostic modeling of ovarian cancer: incorporating genetic, clinical, and immunological markers by Aidi Lin, Feifei Xue, Chenxiang Pan, Lijiao Li

“…The risk score effectively predicted patient survival, distinguishing between high and low-risk groups with significant outcome differences. …”
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A New Modified Model of the Streaming Potential Coupling Coefficient Depends on Structural Parameters of Soil-Rock Mixture by Xin Zhang, Mingjie Zhao, Kui Wang

“…The results show that when the rock content is 30%, the permeability coefficient prediction accuracy of the modified KC equation is higher in the range of 85–95% compactness. …”
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A Novel Methodology for Calculating Crack Opening Stress under Tension-Compression Cyclic Load by Lin Zhang, Xiaohui Wei

“…Crack closure model has been used in several applications on the prediction of fatigue crack growth life, with expression of crack opening stress often serving as milestones. …”
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Fatigue Reliability Analysis System for Key Components of Aero-Engine by Huizhi Qi, Yaqing Lu, Shufang Song, Qiannan Xu

“…First, the fatigue life should be predicted on the basic of finite element analysis. …”
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Utilizing MV-FLOW™ and multidimensional ultrasound characteristics for prognosticating FET outcomes in RIF patients: Study Protocol for a cross-sectional study. by Ying Zhou, Li-Ying Liu, Hua-Ju Yang, Yuan-Yuan Lai, Di Gan, Jie Yang

“…We collected basic clinical data and multimodal ultrasound data from these patients as predictive features, with clinical pregnancy as the predictive label, for model training. …”
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Road Adhesion Coefficient Estimation Based on Vehicle-Road Coordination and Deep Learning by Chunjie Li, Pan Liu, Zhenlong Xie, Zhibin Li, Huan Huan

“…The results show that the vehicle-based data feedback system combined with the vehicle-road network Ccloud is effective, and compared with other commonly used model, the estimation model proposed in this paper can effectively predict the road adhesion coefficient.…”
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Review of Root-Mean-Square Error Calculation Methods for Large Deployable Mesh Reflectors by Sichen Yuan

“…Concept of reflector gain, which describes reflector performance, and its relationship with the root-mean-square error is presented. Approaches to prediction or estimation of root-mean-square error in preliminary design of a large deployable mesh reflector are shown. …”
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Distributed SLAM Using Improved Particle Filter for Mobile Robot Localization by Fujun Pei, Mei Wu, Simin Zhang

“…However, particle impoverishment is inevitably because of the random particles prediction and resampling applied in generic particle filter, especially in SLAM problem that involves a large number of dimensions. …”
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Improving Mechanical Properties of Recycled Aggregate Pervious Concrete Using Taguchi Method by Hemeda Eslam S., Bashandy Alaa A., Nasser Amal A.

“…Confirmation test results agree with the predicted values within ±10%.…”
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Trajectory Calculation as Forecasting Support Tool for Dust Storms by Sultan Al-Yahyai, Yassine Charabi

“…Predefined dust sources can be identified and the trajectories can be precalculated from the Numerical Weather Prediction (NWP) forecast. In case of long distance transported dust, the tool should allow the operational forecaster to perform online trajectory calculation. …”
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