CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…In this study, we propose a model that uses the coherently averaged power spectral estimation (CAPSE) algorithm. Vessel frequency spectra is first computed through the CAPSE analysis, capturing key machinery characteristics. …”
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Smart control of windows for intermittent ventilation in public housing in Hong Kong based on deep neural network models by Yifu Shi, Ho Kam Dai

“…The results show that, for the 12 studied cases, on average, the proposed algorithm minimized the window opening duration for intermittent ventilation to 9.5 min, which was 68% shorter than the 30-min guideline, while maintaining the same intermittent ventilation effectiveness. …”
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Road Damage Detection Using Yolov9-Based Imagery by Febrian Akbar Azhari, Tatang Rohana, Kiki Ahmad Baihaqi, Ahmad Fauzi

“…Evaluation using mAP50 yielded a score of 0.96, while mAP50-95 reached 0.77, indicating strong detection and classification capability. …”
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Adaptive Disturbance Rejection Motion Control of Direct-Drive Systems with Adjustable Damping Ratio Based on Zeta-Backstepping by Zhongjin Zhang, Zhitai Liu, Weiyang Lin, Wei Cheng

“…Experimental results on a real PMLSM platform demonstrated that, while achieving adjustable damping ratio dynamic characteristics, there is a significant improvement in tracking accuracy and disturbance suppression. …”
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Finite Volume Incompressible Lattice Boltzmann Framework for Non-Newtonian Flow Simulations in Complex Geometries by Akshay Dongre, John Ryan Murdock, Song-Lin Yang

“…To address these issues, we developed an incompressible LBM scheme that recovers the incompressible Navier–Stokes equations (NSEs) and integrated it into a finite volume (FV) framework to handle unstructured meshes while retaining the simplicity of the LBM algorithm. …”
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Deep Learning-Enabled Visual Inspection of Gap Spacing in High-Precision Equipment: A Comparative Study by Xiuling Li, Fusheng Li, Huan Yang, Peng Wang

“…Utilizing the DeepLSD algorithm, the system integrates traditional and deep learning techniques to enhance line segment detection, resulting in more robust and accurate inspection outcomes. …”
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Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection by Jianyin Tang, Zhenglin Yu, ChangShun Shao

“…To solve these problems, this paper proposes an innovative fruit recognition model, HAT-YOLOV8, aiming to combine the advantages of Hybrid Attention Transformer (HAT) and YOLOV8 deep learning algorithm. This model improves the ability to capture complex dependencies by integrating the Shuffle Attention (SA) module while maintaining low computational complexity. …”
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Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization by H. Ye, H. Ye, Z. Niu, Z. Niu, D. Han, D. Han, X. Su, X. Su, W. Chen, W. Chen, G. Tu, G. Tu, T. Zhu, T. Zhu

“…The results show that the optimized mechanism can improve the output capacity of the mechanism and reduce the force of the parts while ensuring the motion stability, which has certain practical significance in engineering.…”
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Evolution of Computer-Aided Process Planning for Hybrid Additive/Subtractive Process by Osama Abdulhameed, Abdulrahman Al-Ahmari, Syed Hammad Mian, Abdulmajeed Dabwan, Hisham Alkhalefah

“…Additionally, the genetic algorithm has been employed to obtain the best path with minimum inspection time. …”
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Contagious disease outbreaks: Distinguishing between constant and variable order using the SEIAR model by S.Sepehr Tabatabaei, Mohammadreza Dehghan

“…A heuristic approach is proposed for parameter estimation using a Genetic Optimization Algorithm, which evaluates all possible scenarios for the order and suggests parameter sets that perform well across these scenarios. …”
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Image-Based Classification of Freshwater Fish Species to Support Feed Recommendation Using Random Forest by Hindayati Mustafidah, Suwarsito Suwarsito, Rahmat Setiawan, Abdul Karim

“…Notably, catfish, barb, and tilapia classes achieved perfect classification, while pomfret and gourami showed room for improvement due to overlapping visual features. …”
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Predicting Pregnant Women’s Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System by Amir Hossein Hashemian, Behzad Mahaki, Mansour Rezaei, Leila Solouki, Mohammad Amin Sohrabi Cheqabaleki, Somayeh Sohrabi Cheqabaleki

“…Further, the accuracy, sensitivity, and specificity in ANN were 100%, 99%, and 100%, while in WNN, they were 76.2%, 76.4%, and 66.7%. …”
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A Novel Hybrid Steganography Approach for Securing Text, Images, and Audio with Robust Encryption in Audio Steganography by srinivasa padmaja, Shaik Mahaboob Basha

“…The inquiry looks into White Space and Least Significant Bit (LSB) approaches for text steganography, while Quantization Index Modulation (QIM) is combined with LSB for image steganography. …”
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Fault Type Identification and Fault Refinement Diagnosis Model of Variable Refrigerant Flow System by Liu Qian, Li Zhengfei, Ding Xinlei, Chen Huanxin, Wang Yuzhou, Xu Chang

“…The training set was used to establish an RF algorithm-based fault type identification model. Then, the LDA method was used to reduce the dimensions of the three types of faults in the training set. …”
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A Framework for Constructing Large-Scale Dynamic Datasets for Water Conservancy Image Recognition Using Multi-Role Collaboration and Intelligent Annotation by Xueying Song, Xiaofeng Wang, Ganggang Zuo, Jiancang Xie

“…Two supporting tools were developed: an image classification modification tool that automatically adapts to changes in categories and an automatic annotation tool with rotation-angle perception based on the rotation matrix algorithm. Experimental results show that this method increases annotation efficiency by 40% compared to traditional approaches, while achieving 100% annotation consistency after classification modifications. …”
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Investigation of a Novel Common Subexpression Elimination Method for Low Power and Area Efficient DCT Architecture by M. F. Siddiqui, A. W. Reza, J. Kanesan, H. Ramiah

“…A wide interest has been observed to find a low power and area efficient hardware design of discrete cosine transform (DCT) algorithm. This research work proposed a novel Common Subexpression Elimination (CSE) based pipelined architecture for DCT, aimed at reproducing the cost metrics of power and area while maintaining high speed and accuracy in DCT applications. …”
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Machine learning approach for revealing the nickel grade and recovery optimization in reduction process of laterite ores by Vuri Ayu Setyowati, Fakhreza Abdul

“…Data sets were collected from published studies that feature nickel ore grade (Ni and Fe content) and reduction process (temperature, additives, reductant, etc.), while prediction models for Ni grade and recovery were formed from four types of regression algorithms. …”
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Simulation and projection of land use and land cover using remote sensing data and CA–Markov model case study by Akash Behera, Kishan Singh Rawat, Sanjeev Kumar, Ali Saeed Almuflih, Naif Almakayeel, Mohamed Rafik N. Qureshi

“…The Talcher region has experienced notable transformations in LULC over the recent decades. Markovian algorithm’s efficiency and validation utilized two images from 2000 and 2010, while validation of CA-Markov predictions relied on a ground-based land cover image from 2020. …”
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Child Psychiatry Engagement in the Management of Delirium in Critically Ill Children by Sean S. Barnes, Marco A. Grados, Sapna R. Kudchadkar

“…Sixteen patients who received child psychiatry consultation for suspected delirium while in the PICU. Measurements and Main Results. …”
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G-RCenterNet: Reinforced CenterNet for Robotic Arm Grasp Detection by Jimeng Bai, Guohua Cao

“…Additionally, the GSConv module is incorporated during the prediction decoding phase to accelerate inference speed while maintaining high accuracy, further improving real-time performance. …”
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