An Improved Decision Support System for Identification of Abnormal EEG Signals Using a 1D Convolutional Neural Network and Savitzky-Golay Filtering by Unmesh Shukla, Geetika Jain Saxena, Manish Kumar, Anil Singh Bafila, Amit Pundir, Sanjeev Singh

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Nonreference Medical Image Edge Map Measure by Karen Panetta, Chen Gao, Sos Agaian, Shahan Nercessian

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APPSO‐NN: An adaptive‐probability particle swarm optimization neural network for sensorineural hearing loss detection by Jingyuan Yang, Yu‐Dong Zhang

“…The system first employs a wavelet entropy layer to extract features of MRI images. Then, a neural network layer is proposed as the classifier consisting of a feedforward neural network (FNN) and an adaptive‐probability PSO (APPSO) algorithm. …”
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Development of a Novel Transonic Fan Casing Making Use of Rapid Prototyping and Additive Manufacturing by Andrew Cusator, Nicole L. Key

“…Additive manufacturing (AM) presents significant cost savings and lead time reductions because of features inherent to the manufacturing process. The technology lends itself to rapid prototyping due to the streamlined workflow of quickly implementing design changes. …”
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A Fast Prediction Model of Supercritical Airfoils Based on Deep Operator Network and Variational Autoencoder Considering Physical Constraints by Mengxin Liu, Yunjia Yang, Chenyu Wu, Yufei Zhang

“…Flow field prediction is crucial for evaluating the performance of airfoils and aerodynamic optimization. Computational fluid dynamics (CFD) methods usually require a considerable amount of computational resources and time. …”
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Ultra-Wide-Band and Polarization-Insensitive Metamaterial Absorber With Resistive Ink Sheet for RCS Reduction Applications by Ramesh Amugothu, Vakula Damera

“…The structure of the unit cell is designed using a dielectric FR4 substrate with resistive ink patterns printed on it. With the help of computational optimization using the Ansys HFSS tool, the proposed unit cell's various geometric parameters are fine-tuned to achieve outstanding results. …”
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Radiographic evaluation of temporomandibular joint in patients with posterior direct restorations by I. N. Bagdasarova, A. A. Gevorkyan, O. V. Pilshchikova, N. N. Fedotova, A. S. Karnaeva, L. A. Kozhevnikova, V. M. Slonova

“…The process of tooth wear and direct restorations can progress and cause dysfunction of the temporomandibular joint (TMJ), the assessment of which is quite effective using cone beam computed tomography (CBCT).The aim is to study of the morphological parameters of the condyles and their relationship with the articular fossa of the TMJ using CBCT in patients with direct restorations in the masticatory region of the upper and lower jaws.Materials and methods. …”
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Formation of unmanned aircraft trajectory when flying around prohibited areas by A. A. Lobaty, A. Y. Bumai, A. M. Avsievich

“…A law for measuring the control acceleration of the UAV’s center of mass is obtained on the basis of specifying the minimized quality functional and the corresponding constraints, which is a feature of the considered method of solving the problem. …”
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A critical phantom study of the energy window used for 99mTc quantitative explorations with a ring CZT SPECT system by Alain Seret, Claire Bernard

“…Conclusions Narrow symmetric or asymmetric energy windows were found an interesting alternative to the standard dual energy window method to reject 99mTc scattered photons. As a key feature, they allowed to avoid the erasing of small hot objects in a null background that was observed with the standard dual energy window scatter correction.…”
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SFMattingNet: A Trimap-Free Deep Image Matting Approach for Smoke and Fire Scenes by Shihui Ma, Zhaoyang Xu, Hongping Yan

“…Taking into account the unique characteristics of smoke and fire, the network incorporates a non-rigid object feature extraction module and a spatial awareness module, achieving improved performance. …”
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Statistical Difference Representation-Based Transformer for Heterogeneous Change Detection by Xinhui Cao, Minggang Dong, Xingping Liu, Jiaming Gong, Hanhong Zheng

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Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization by R. Gopi, V. Thiruppathy Kesavan, Md. Jakir Hossen, Nor Hidayati Binti Abdul Aziz

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Modeling of an Electromagnetic Cannon using ATP-EMTP and ATPDraw by José Manuel Aller, Juan José Cordero Cantos, Pedro José León Rojas, Jhonny Rengifo

“…The system features a cylindrical metallic armature that traverses multiple stages of circular coils. …”
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YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery by Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding

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Detection method of small size defects on pipeline weld surface based on improved YOLOv7. by Xiangqian Xu, Wenting Hou, Xing Li

“…Then, the convolution module in the backbone network and the feature fusion network is replaced by the depthwise separable convolution with less computational overhead, so as to effectively reduce the network calculation, parameter quantity and model volume. …”
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A weight clustering algorithm based on sliding window model for stream data by Jiashun Chen, Jianjing Chen, Zhaoman Zhong

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Dynamical Analysis and Offset Boosting in a 4-Dimensional Quintic Chaotic Oscillator with Circulant Connection of Space Variables by Nzoulewa Dountsop Sandrine, Kengne Jacques

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Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images by Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami

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Plaque biomarkers from high-frame rate vector flow imaging and shear wave elastography in mild carotid stenosis by Man Zhao, Jing Chen, Shiyao Gu, Haoqing Hu, Luni Zhang, Rong Wu, Caixia Jia

“…Conclusion High-frame rate VFI and SWE enable detection of biomechanical features and stiffness in high-risk plaques among patients with mild carotid stenosis. …”
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Do We Need to Add the Type of Treatment Planning System, Dose Calculation Grid Size, and CT Density Curve to Predictive Models? by Reza Reiazi, Surendra Prajapati, Leonardo Che Fru, Dongyeon Lee, Mohammad Salehpour

“…<b>Conclusions:</b> Incorporating treatment planning parameters, such as dose distribution and target volumes, as explicit features in model training can mitigate the impact of domain dependency and enhance prediction accuracy. …”
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