IoT Stingless Bee Colony Monitoring System by R. J. Arendela, R. A. Ebora, E. Arboleda, J. L. M. Ramos, M. Bono, D. Dimero

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A comprehensive hematological dataset for dengue incidence in Bangladesh(Mendeley Data). by Md. Asraful Sharker Nirob, A K M Fazlul Kobir Siam, Prayma Bishshash, Md. Assaduzzaman, Md. Afzalul Haque, Arif Mahmud

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Protocol for quantifying muscle fiber size, number, and central nucleation of mouse skeletal muscle cross-sections using Myotally software by Pieter Both, Soochi Kim, Jengmin Kang, Marina Arjona, Daniel I. Benjamin, Christopher W. Nutter, Armon Goshayeshi, Thomas A. Rando

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NeuroPong: the event-based camera driven embedded neuromorphic system by Charles P Rizzo, Bryson Gullett, Alex M Crumley, Maxwell E Marcum, Mason R Hyman, Carter Earheart-Brown, Julia Steed, Frank Standaert, Catherine D Schuman, James S Plank

“…Neuromorphic computing is a novel style of computing that features low-power spiking neural networks (SNNs) as the main compute components. …”
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Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction by Ekaprana Wijaya, Moch. Arief Soeleman, Pulung Nurtantio Andono

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Combining Dielectric and Hyperspectral Data for Apple Core Browning Detection by Hanchi Liu, Jinrong He, Yanxin Shi, Yingzhou Bi

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Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

“…To achieve low-frequency absorption within a limited spatial volume, this study proposes an embedded Helmholtz resonator featuring a roughened neck and establishes a numerical computational model that incorporates thermos viscous effects. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…The computing world is rapidly evolving and advancing, with new ground-breaking technologies emerging. …”
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An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival by Saima Kanwal, Muhammad Abdullah, Sahil Kumar, Saqib Arshad, Muhammad Shahroz, Dawei Zhang, Dileep Kumar

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Prediction of acute pancreatitis severity based on early CT radiomics by Mingyao Qi, Chao Lu, Rao Dai, Jiulou Zhang, Hui Hu, Xiuhong Shan

“…CT image segmentation was performed using ITK-SNAP, followed by the extraction of radiomics features. The stability of the radiomics features was assessed through inter-observer Intraclass Correlation Coefficient analysis. …”
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Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

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MW-UNet: Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data by Mengmeng Cui, Chen Zeng, Xiaolong Xu, Muhammad Bilal, Xiaoyu Xia

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An Enhanced Dynamic Model of a Spatial Parallel Mechanism Receiving Direct Constraints from the Base at Two Point-Contact Higher Kinematic Pairs by Chen Cheng, Xiaojing Yuan, Yenan Li

“…Further, from the comparison between the models of the target PM and its counterpart free of DCFB, these constraints sharply raise the modelling complexity in terms of the transformation between Euler parameters and Euler angles in the end effector and the computational cost of inverse dynamics.…”
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Parametric Variant Design of Reducer based on Case Based Reasoning by Zhuang Qianyu, Wang Zongyan, Qin Huibin, Dong Hao, Yan Shuai

“…A reducer 3D design system is developed by taking Solid Works as a development platform and VB as the development tool,combining the key technology of three dimensional modeling method that combine the feature modeling and parametric design,the nearest neighbor algorithm for computing similarity,and the parametric variant design based on layout sketch.The automatic retrieval,design calculation,model- driven and plot for the reducer is realized,it provides an effective way for the fast intelligent design of the reducer.…”
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Comprehensibility and Prosody Ratings for Pronunciation Software Development by Paul Warren, Irina Elgort, David Crabbe

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ResnetCPS for Power Equipment and Defect Detection by Xingyu Yan, Lixin Jia, Xiao Liao, Wei Cui, Shuangsi Xue, Dapeng Yan, Hui Cao

“…Convolutional neural networks (CNNs) substantially reduce the number of parameters and efficiently extract image features for classification tasks. …”
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Harnessing smartphone RGB imagery and LiDAR point cloud for enhanced leaf nitrogen and shoot biomass assessment - Chinese spinach as a case study by Aravind Harikumar, Aravind Harikumar, Itamar Shenhar, Itamar Shenhar, Itamar Shenhar, Miguel R. Pebes-Trujillo, Miguel R. Pebes-Trujillo, Lin Qin, Menachem Moshelion, Menachem Moshelion, Jie He, Jie He, Kee Woei Ng, Kee Woei Ng, Kee Woei Ng, Matan Gavish, Matan Gavish, Ittai Herrmann, Ittai Herrmann

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An improved multi‐scale YOLOv8 for apple leaf dense lesion detection and recognition by Shixin Huo, Na Duan, Zhizheng Xu

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Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield by Lakindu Mampitiya, Harindu S. Sumanasekara, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake

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Recent advances in explainable Machine Learning models for wildfire prediction by Abira Sengupta, Brendon J. Woodford

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