Three Machine Learning Techniques for Melanoma Cancer Detection by Hadi Naghavipour, GholamReza Zandi, Abdulaziz Al-Nahari

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CNF: An Automated Test Case Generation Method Based on Neuron Coverage Guidance in Key Network Layers by Yiran Gu, Yunlai Sun, Yiling Wu, Fei Yan

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Analysis of service oriented network slicing at infrastructure layer in LoRa for IoT applications by Shilpi Verma, Sindhu Hak Gupta, Vipin Balyan

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LAX phases: A family of novel stable layered materials, informatics‐based discovery by Ehsan Alibagheri, Mohammad Khazaei, Mehdi Estili, Alireza Seyfi, Hiroshi Mizoguchi, Kaoru Ohno, Hideo Hosono, S. Mehdi Vaez Allaei

“…Abstract Ternary MAX phases, characterized by the chemical formula M₂AX, represent a group of layered materials with hexagonal lattices. These MAX phases have been the subject of extensive experimental and theoretical studies. …”
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Using VGG Models with Intermediate Layer Feature Maps for Static Hand Gesture Recognition by Osamah Y. Fadhil, Bashar S. Mahdi, Ayad R. Abbas

“…Unlike these works, the current study investigates two deep learning models with intermediate layers to recognize static hand gesture images. …”
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Integrated framework for assessment and spatial prediction of humus layer properties of forest soils by Felix Thomas, Carina Becker, Rainer Petzold, Karsten Schmidt, Thomas Scholten, Ulrike Werban

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A Hidden Surveillant Transmission Line Protection Layer for Cyber-Attack Resilience of Power Systems by Hossein Ebrahimi, Sajjad Golshannavaz, Amin Yazdaninejadi, Edris Pouresmaeil

“…To do so, a hidden and local surveillant protection layer is introduced that utilizes isolated measurement devices. …”
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A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses by Zixuan Zhou, Lihua Li, Hao Xue, Yuchen Jia, Yao Yu, Zongkui Xie, Yuhan Gu

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Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting by Bruno Brentan, Ariele Zanfei, Martin Oberascher, Robert Sitzenfrei, Joaquin Izquierdo, Andrea Menapace

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DNN Layer Specialization Through Sequential Training for Applications With Smart Road-User Interactions by Joannes Sam Mertens, Salvatore Cafiso, Laura Galluccio, Giacomo Morabito, Giuseppina Pappalardo

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ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach by Mir Faiyaz Hossain, Shajreen Tabassum Diya, Riasat Khan

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Glaucoma Diagnostic Accuracy of Machine Learning Classifiers Using Retinal Nerve Fiber Layer and Optic Nerve Data from SD-OCT by Kleyton Arlindo Barella, Vital Paulino Costa, Vanessa Gonçalves Vidotti, Fabrício Reis Silva, Marcelo Dias, Edson Satoshi Gomi

“…To investigate the diagnostic accuracy of machine learning classifiers (MLCs) using retinal nerve fiber layer (RNFL) and optic nerve (ON) parameters obtained with spectral domain optical coherence tomography (SD-OCT). …”
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An adaptive feature fusion strategy using dual-layer attention and multi-modal deep reinforcement learning for all-media similarity search by Jin Yue, Jiayun Lang, Rui Feng

Subjects: “…Dual layer attention mechanism…”
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Machine learning for predicting physical parameters of atom-vacancy defects from low-frequency noise in few-atom layer MoS2 by Y. Nonaka, K. Takaki, Y. Kobayashi, J. Haruyama

“…The rapid advancement of deep learning (DL) has significantly expanded its application across various fields, including physics and materials science. …”
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Few-Layer Graphene-Based Optical Nanobiosensors for the Early-Stage Detection of Ovarian Cancer Using Liquid Biopsy and an Active Learning Strategy by Obdulia Covarrubias-Zambrano, Deepesh Agarwal, Joan Lewis-Wambi, Raul Neri, Andrea Jewell, Balasubramaniam Natarajan, Stefan H. Bossmann

“…These G-NBSs consist of few-layer explosion graphene featuring a hydrophilic coating, which is linked to fluorescently labeled highly selective consensus sequences for the proteases of interest, as well as a fluorescent dye. …”
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High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning by Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon, Jina Bang, Waunsoo Kim, Il Jeon, Im Doo Jung

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Design of an intelligent AI-based multi-layer optimization framework for grid-tied solar PV-fuel cell hybrid energy systems by Prashant Nene, Dolly Thankachan

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A Multi-Layer Attention Knowledge Tracking Method with Self-Supervised Noise Tolerance by Haifeng Wang, Hao Liu, Yanling Ge, Zhihao Yu

Subjects: “…deep learning…”
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Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy by Lakshay Arora, Sunil K. Singh, Sudhakar Kumar, Hardik Gupta, Wadee Alhalabi, Varsha Arya, Shavi Bansal, Kwok Tai Chui, Brij B. Gupta

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A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

“…The IMGO is employed to determine the appropriate hyperparameters of the model, ranging from the number of neurons in the hidden layers and learning rate. The Bayesian regularization backpropagation procedure is applied to update the weights and bias of the network. …”
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