Prediction of Crop Yield by Support Vector Machine Coupled with Deep Learning Algorithm Procedures in Lower Kulfo Watershed of Ethiopia by Abebe Temesgen Ayalew, Tarun Kumar Lohani

“…It delivers well precision as compared to the current model examining the specified documents and assisting the local agronomists in forecasting different types of crop and gain benefits. In RNN, LSTM, and SVM algorithms, the accuracy is determined as 96% which is comparatively preferable as compared to other machine learning procedures under different feature and crop types. …”
Get full text

DDA-MSLD: A Multi-Feature Speech Lie Detection Algorithm Based on a Dual-Stream Deep Architecture by Pengfei Guo, Shucheng Huang, Mingxing Li

“…Considering the significant differences in lie speech in different lying scenarios, and to further evaluate the algorithm’s generalization performance, a single-person scenario Chinese lie speech dataset Local was constructed, and experiments were conducted on it. …”
Get full text

Screening potential diagnostic biomarkers for PLA2R‑associated idiopathic membranous nephropathy by WGCNA analysis and LASSO algorithm by Jinxu Huang, Yaqing Huang, Xiaoling Zeng, Yuhong Zhang, Junneng Zhang, Qingchu Hong, Yongtiao Peng

Get full text

Fusion of Rough Set Theory, Genetic Algorithm-Backpropagation Neural Networks and Shapley Additive Explanations for the Design of Bamboo Furniture by Zhongchen Huang, Li Ye

“…Then, the attribute reduction algorithm in rough set theory was used to extract the key emotional needs that have significant impact on consumer satisfaction. …”
Get full text

Evaluation of three commercial rapid immunoassays for the diagnosis of Clostridioides difficile infection by Hannes Bjarki Vigfússon, Theresa Ennefors, Torbjörn Norén, Martin Sundqvist

“…Several commercial rapid immunoassays that detect both GDH and toxin A/B in stool samples are available and could be used for both steps of the diagnostic algorithm. We aimed to evaluate the performance of three of these rapid immunoassays and study pathogen characteristics that might affect the sensitivity of toxin A/B detection. …”
Get full text

An Algorithmic Approach for Assessment of Mediastinal Lesions Using Conventional Transbronchial Needle Aspiration and Endoscopic Ultrasonography in a Single Procedure by Andrew Burkett, Harmanjatinder S. Sekhon, Craig Burkett, Shaheed W. Hakim, Kayvan Amjadi

“…Assess the feasibility of an algorithmic approach for mediastinal sampling beginning with C-TBNA utilizing rapid onsite cytologic evaluation. …”
Get full text

Task Allocation Method for Emergency Active Debris Removal Based on the Fast Elitist Non-Dominated Sorting Genetic Algorithm by Hao Lei, Xiang Zhang, Wenhe Liao, Guoning Wei, Shuhui Fan

“…In order to address the problem of a heterogeneous satellite swarm with different payloads carrying out the emergency active removal of space debris, this paper proposes a Multi-type Chromosome Fast Elitist Non-Dominated Sorting Genetic Algorithm (MC-NSGA-II). …”
Get full text

Magnetic resonance imaging measurement of the femoral antetorsional angle: Comparison with computer tomography and clinical application in a diagnostic algorithm by Ewa Tramś, Maciej Liszka, Krzysztof Kuliński, Kamila Malesa, Marcin Tyrakowski, Jerzy Białecki, Rafał Kamiński

Get full text

Comparative Diagnostic Efficacy of HeartLogic and TriageHF Algorithms in Remote Monitoring of Heart Failure: A Cohort Study by David Ledesma Oloriz, Daniel García Iglesias, Rodrigo Ariel di Massa Pezzutti, Fernando López Iglesias, José Manuel Rubín López

“…Until now, no other trial has evaluated both algorithms in a head-to-head comparison. …”
Get full text

An artificial intelligence algorithm for the detection of pulmonary ground-glass nodules on spectral detector CT: performance on virtual monochromatic images by Zhong-Yan Ma, Hai-lin Zhang, Fa-jin Lv, Wei Zhao, Dan Han, Li-chang Lei, Qin Song, Wei-wei Jing, Hui Duan, Shao-Lei Kang

“…Abstract Background This study aims to assess the performance of an established an AI algorithm trained on conventional polychromatic computed tomography (CT) images (CPIs) to detect pulmonary ground-glass nodules (GGNs) on virtual monochromatic images (VMIs), and to screen the optimal virtual monochromatic energy for the clinical evaluation of GGNs. …”
Get full text

Advanced music classification using a combination of capsule neural network by upgraded ideal gas molecular movement algorithm by Peiyan Chen, Jichi Zhang, Arsam Mashhadi

“…To address this issue, this research proposes a novel methodology that combines CapsNet with an upgraded version of the Ideal Gas Molecular Movement (UIGMM) optimization algorithm. By utilizing the UIGMM algorithm, the parameters of the CapsNet model can be fine-tuned, thereby enhancing its ability to accurately recognize and classify different music genres. …”
Get full text

Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…First, based on the working parameters of the group network radar and the information fusion rules, the cooperative jamming effectiveness evaluation function is established. On this basis, the cooperative jamming decision schemes and their corresponding cooperative jamming effectiveness values are solved at different locations in the target space, and the results are detected as outliers using box plots, thus constructing sample data for cooperative jamming effectiveness evaluation. …”
Get full text

Support Vector Regression-Based Adaptive Divided Difference Filter for Nonlinear State Estimation Problems by Hongjian Wang, Jinlong Xu, Aihua Zhang, Cun Li, Hongfei Yao

“…The derivative-free SVRADDF algorithm is significantly simpler to compute than other methods and is implemented using only functional evaluations. …”
Get full text

Evaluation of Human Action Based on Feature-Weighted Dynamic Time Warping by Mingdie Yan, Xia Liu, Zhaoyang Li, Naiyu Guo

“…Based on similarity scores, the difference between the actions of healthy people and patients and the template actions is more than 80%, which shows that the method can evaluate action quality in people with different health conditions and effectively reduce error in action evaluation. …”
Get full text

Creating a Newer and Improved Procedural Content Generation (PCG) Algorithm with Minimal Human Intervention for Computer Gaming Development by Lazaros Lazaridis, George F. Fragulis

“…Unlike traditional methods that rely solely on agent-based evaluations, this constructive algorithm emphasizes reduced processing power, making it suitable for generating small worlds in real time, particularly during loading screens. …”
Get full text

Research on Autonomous Obstacle Avoidance Algorithm for Complex Environment of Unmanned Aerial Vehicle Based on Multi-source Sensor Fusion by Fan Li

“…Secondly, the application examples of different fusion level algorithms in UAV obstacle avoidance are analyzed, such as the data layer and feature layer fusion practice of Dashuai Wang’s team, the improvement of Bayesian algorithm to achieve multi-level fusion of Honglei Zhang’s team, etc., and a variety of innovative obstacle avoidance algorithms are also introduced. …”
Get full text

Using Artificial intelligence to evaluate skill performance of some karate skills by Hayder Nazar Jawoosh, Dr.Abeer Dakhil, dr. Muhammed Asim Muhammed, dr. Mazin Hadi Gizar

Get full text

Nurse Scheduling with Joint Normalized Shift and Day-Off Preference Satisfaction Using a Genetic Algorithm with Immigrant Scheme by Chun-Cheng Lin, Jia-Rong Kang, Ding-Jung Chiang, Chien-Liang Chen

“…Performance of the proposed GA with and without solution recovery scheme is evaluated by conducting a comprehensive experimental analysis on three different-size instances.…”
Get full text

Chess Position Evaluation Using Radial Basis Function Neural Networks by Dimitrios Kagkas, Despina Karamichailidou, Alex Alexandridis

“…The proposed approach introduces models based on the radial basis function (RBF) neural network architecture trained with the fuzzy means algorithm, in conjunction with a novel set of input features; different methods of network training are also examined and compared, involving the multilayer perceptron (MLP) and convolutional neural network (CNN) architectures and a different set of input features. …”
Get full text

Costs of Care for Neonates with Hypoxic-Ischemic Encephalopathy Treated with Therapeutic Hypothermia and Validation of the Canadian Neonatal Network Costing Algorithm by Elias Jabbour, MSc, Pia Wintermark, MD, PhD, Wijdan Basfar, MD, Sharina Patel, MD, MSc, Petros Pechlivanoglou, PhD, Prakesh Shah, MD, MSc, Marc Beltempo, MD, MSc, Prakesh S. Shah, MD, MSc, Marc Beltempo, MD, Jaideep Kanungo, MD, Joseph Ting, MD, Zenon Cieslak, MD, Rebecca Sherlock, MD, Ayman Abou Mehrem, MD, Jennifer Toye, MD, Khalid Aziz, MBBS, Carlos Fajardo, MD, Jaya Bodani, MD, Lannae Strueby, MD, Mary Seshia, MBChB, Deepak Louis, MD, Ruben Alvaro, MD, Amit Mukerji, MD, Orlando Da Silva, MD, MSc, Sajit Augustine, MD, Kyong-Soon Lee, MD, MSc, Eugene Ng, MD, Brigitte Lemyre, MD, Thierry Daboval, MD, Faiza Khurshid, MD, Victoria Bizgu, MD, Keith Barrington, MBChB, Anie Lapointe, MD, Guillaume Ethier, NNP, Christine Drolet, MD, Bruno Piedboeuf, MD, Martine Claveau, MSc, LLM, NNP, Marie St-Hilaire, MD, Valerie Bertelle, MD, Edith Masse, MD, Roderick Canning, MD, Hala Makary, MD, Cecil Ojah, MBBS, Luis Monterrosa, MD, Julie Emberley, MD, Jehier Afifi, MB, BCh, MSc, Andrzej Kajetanowicz, MD, Shoo K. Lee, MBBS, PhD

“…Validated cost estimates are required to better evaluate the cost-effectiveness of additional interventions during TH. …”
Get full text