A Make-to-Order Capacitated Lot-Sizing Model with Parallel Machines, Eligibility Constraints, Extra Shifts, and Backorders by Felipe T. Muñoz, Juan Ulloa-Navarro

“…The results show that optimal solutions can be obtained within reasonable computational times. For more computationally demanding instances, a runtime limit of 300 s is shown to improve solution quality while maintaining efficiency. …”
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MRD: A Linear-Complexity Encoder for Real-Time Vehicle Detection by Kaijie Li, Xiaoci Huang

“…To address these limitations, this study introduces Mamba RT-DETR (MRD), an optimized architecture featuring three principal innovations: (1) We devise an efficient vehicle detection Mamba (EVDMamba) network that strategically integrates a linear-complexity state space model (SSM) to substantially mitigate computational overhead while preserving feature extraction efficacy. (2) To counteract the constrained receptive fields and suboptimal spatial localization associated with conventional SSM sequence modeling, we implement a multi-branch collaborative learning framework that synergistically optimizes channel dimension processing, thereby augmenting the model’s capacity to capture critical spatial dependencies. (3) Comprehensive evaluations on the BDD100K benchmark demonstrate that MRD architecture achieves a 3.1% enhancement in mean average precision (mAP) relative to state-of-the-art RT-DETR variants, while concurrently reducing parameter count by 55.7%—a dual optimization of accuracy and efficiency.…”
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A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. …”
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Design and Implementation of an Underwater Information Acquisition System Prototype Based on Optical Fiber Communication by Mengke Zhao, Yi Hao, Chunqiang Lu, Suyi Li

“…Then, software procedures are, respectively, developed for the slave computer and the master computer based on the designed communication protocol. …”
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SmartPresence: Wi-Fi-based online attendance management for smart academic assistance by Mijanur Rahaman, Md. Masudul Islam, Dip Nandi

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Enhanced Binary Kepler Optimization Algorithm for effective feature selection of supervised learning classification by Amr A. Abd El-Mageed, Amr A. Abohany, Khalid M. Hosny

“…BKOA-MUT balances exploration and exploitation, effectively guiding search for optimal feature subsets. BKOA-MUT was evaluated using k-Nearest Neighbors (k-NN) and Support Vector Machine (SVM) on 25 UCI benchmarks, including three large-scale ones. …”
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New Bayesian Posterior Approaches for Cytogenetic Partial Body Irradiation Inference by Manuel Higueras, Hans Carrillo

“…Laplace’s approximation demonstrates strong performance, delivering rapid results with a loss of precision that may not significantly impact clinical measurements compared to those obtained through the more computationally intensive numerical integration approach.…”
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Tri-Algo guardian ensemble approach for fake news detection in social media by Borra Vineetha, Munirathinam Nirmala

“…Abstract The rapid spread of misinformation in the digital age highlights the need for effective fake news classification systems. This research evaluates classification methods using multiple datasets, which present distinct challenges and features. …”
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Vision transformer embedded video anomaly detection using attention driven recurrence by Ummay Maria Muna, Shanta Biswas, Syed Abu Ammar Muhammad Zarif, Philip Jefferson Deori, Tauseef Tajwar, Swakkhar Shatabda

“…Additionally, we incorporate a parameter-efficient recurrent model, the Simple Recurrent Unit Plus Plus (SRU++), which processes long sequential video embeddings efficiently by reducing computational costs by ten times compared to traditional methods. …”
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Orchestrated Platform for Cyber-Physical Systems by Róbert Lovas, Attila Farkas, Attila Csaba Marosi, Sándor Ács, József Kovács, Ádám Szalóki, Botond Kádár

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Dual-Path Interactive U-Net for Unsupervised Hyperspectral Image Super-Resolution by Wenchen Deng, Jianjun Liu, Jinlong Yang, Zebin Wu, Liang Xiao

“…In addition, we design a weight-sharing U-Net that leverages the similarities and differences between two abundance maps, ensuring internal consistency while reducing computational cost. Thorough evaluations conducted using four publicly available datasets, along with one real-world dataset, and under various noise conditions confirm the validity of our proposed model.…”
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Optimizing Convolutional Neural Network Architectures by Luis Balderas, Miguel Lastra, José M. Benítez

“…Convolutional neural networks (CNNs) are commonly employed for demanding applications, such as speech recognition, natural language processing, and computer vision. As CNN architectures become more complex, their computational demands grow, leading to substantial energy consumption and complicating their use on devices with limited resources (e.g., edge devices). …”
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Substrate Dielectric Constant Effects on the Performances of a Metasurface-Based Circularly Polarized Microstrip Patch Antenna by Kam Eucharist Kedze, Heesu Wang, Yong Bae Park, Ikmo Park

“…The effects on the performance variations are evaluated for two principal cases that include a uniform dielectric constant and a nonuniform dielectric constant for the upper and lower substrates of the antenna. …”
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Breast cancer detection based on histological images using fusion of diffusion model outputs by Younes Akbari, Faseela Abdullakutty, Somaya Al Maadeed, Ahmed Bouridane, Rifat Hamoudi

“…Abstract The precise detection of breast cancer in histopathological images remains a critical challenge in computational pathology, where accurate tissue segmentation significantly enhances diagnostic accuracy. …”
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A cryptosystem for face recognition based on optical interference and phase truncation theory by Yuan Guo, Ping Zhai, Debao Jia, Wenpeng Li

“…Experimental evaluations on the Labeled Faces in the Wild (LFW) dataset demonstrate a face recognition accuracy of $$97.09\%$$ on decrypted images, with encryption taking 40.47 s for 10,000 images and decryption requiring just 0.02 s per image. …”
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E2E Network Slice Assurance for B5G/6G: Realizing Data Collection and Management, MLOps, and Closed-Loop Control by Simona Marinova, Yifang Tian, Alberto Leon-Garcia

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A Quantitative Study on Multipoint Video Distribution Systems MVDS Interference to GEO Satellites in Lebanon by Ali Karaki, Hiba Abdalla, Mohammed Al-Husseini, Hamza Issa

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Heat recovery integration in a hybrid geothermal-based system producing power and heating using machine learning approach to maximize outputs by Hatem Gasmi, Azher M. Abed, Ashit Kumar Dutta, Fahad M. Alhomayani, Ibrahim Mahariq, Fahad Alturise, Salem Alkhalaf, Tamim Alkhalifah, Yasser Elmasry, Baseem Khan

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Robot Simulation on Agri-Field Point Cloud With Centimeter Resolution by Shintaro Noda, Masayuki Kogoshi, Wataru Iijima

“…The computation time of the simulation was 8.8 times faster than real time, and the simulation accuracy compared to actual robot movements was ~1 cm in Root Mean Square Error (RMSE). …”
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Decision of Surgery According to Relation of Roots of Lower Third Molar to Inferior Alveolar Canal in Different Winter Classes of Impaction Depending Only on Orthopan-tomogram. Su... by Khurshid Abubakir Kheder Khrwatany

“…There are different types of this relation, mainly: away, in direct contact and crossing the canal. The aim is to evaluate the relation between roots of lower third molar and inferior alveolar canal, in Winter classification of impaction of impaction to decide whether to do surgery or to ask for Cone Beam Computed Tomography first. …”
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