Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

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Improved colorization and classification of intracranial tumor expanse in MRI images via hybrid scheme of Pix2Pix-cGANs and NASNet-large by Mavra Mehmood, Nasser Alshammari, Saad Awadh Alanazi, Asma Basharat, Fahad Ahmad, Muhammad Sajjad, Kashaf Junaid

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Performance analysis of cloud resource allocation scheme with virtual machine inter-group asynchronous failure by Yuan Zhao, Kang Chen, Hongmin Gao, Yan Li

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Copy-move forgery detection using binary discriminant features by Priya Mariam Raju, Madhu S. Nair

“…Experimental results show that the proposed method has better detection accuracy, in terms of precision, recall and F1 Score, when compared with the state-of-the-art methods of copy-move forgery detection, under conditions of plain copy-move forgery as well as post-processing conditions like brightness changes, contrast adjustments, color reduction and blurring.…”
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IoT-edge anomaly detection for covariate shifted and point time series health data by Partha Pratim Ray, Dinesh Dash

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Lightweight detection of cotton leaf diseases using StyleGAN2-ADA and decoupled focused self-attention by Henghui Mo, Linjing Wei

“…The Layer-Adaptive Magnitude-based Pruning (LAMP) method reduces computational and memory demands, and the teacher-assistant-student architecture further improves accuracy through knowledge distillation. …”
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Multi-layer obstacle-avoiding rectilinear steiner minimal tree algorithm based on deep reinforcement learning by Xing Huang, Yuhan Zhu, Yanbo Xu, Yajun Xie, Genggeng Liu

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Efficient and low complex architecture for detection and classification of Brain Tumor using RCNN with Two Channel CNN by Nivea Kesav, M.G. Jibukumar

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Romanized Tunisian dialect transliteration using sequence labelling techniques by Jihene Younes, Hadhemi Achour, Emna Souissi, Ahmed Ferchichi

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Multi-level fusion with fine-grained alignment for multimodal sentiment analysis by Xiaoge Li, Yanan Ma, Xiaochun An, Jinshuo Xing, Ren Liu, Yunsheng Ren

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SMOTE-LOF for noise identification in imbalanced data classification by Asniar, Nur Ulfa Maulidevi, Kridanto Surendro

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A novel transformer-based dual attention architecture for the prediction of financial time series by Anita Hadizadeh, Mohammad Jafar Tarokh, Majid Mirzaee Ghazani

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Graph-based reinforcement learning for software-defined networking traffic engineering by Jingwen Lu, Chaowei Tang, Wenyu Ma, Wenjuan Xing

“…This paper proposes GRL-TE (Graph-based Reinforcement Learning for Traffic Engineering), a novel framework that achieves near-optimal performance while maintaining computational efficiency across diverse network scales. …”
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Robust and Swift Iris Recognition at distance based on novel pupil segmentation by Ahmed Khudhur Nsaif, Sawal Hamid Md. Ali, Asama Kuder Nseaf, Khider Nassif Jassim, Ammar Al-Qaraghuli, Riza Sulaiman

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Low-overhead defect-adaptive surface code with bandage-like super-stabilizers by Zuolin Wei, Tan He, Yangsen Ye, Dachao Wu, Yiming Zhang, Youwei Zhao, Weiping Lin, He-Liang Huang, Xiaobo Zhu, Jian-Wei Pan

“…However, a major challenge arises from defects in processor fabrication, as well as occasional losses or cosmic rays during the computing process, all of which can lead to qubit malfunctions and disrupt error-correcting codes’ normal operations. …”
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Bias-field digitized counterdiabatic quantum algorithm for higher-order binary optimization by Sebastián V. Romero, Anne-Maria Visuri, Alejandro Gomez Cadavid, Anton Simen, Enrique Solano, Narendra N. Hegade

“…Our results show that BF-DCQO offers an effective path for solving large-scale HUBO problems on current and near-term quantum processors.…”
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Study on Key Technologies of Intelligent IoT Device by Yingqi Wei, Weiping Lin, Ying Li

“…Smart IoT devices go into product stage from hype stage.Sensors are being miniaturized，integrated，intelligent and diversified，turn the reality into digital.IoT device’s intelligent is based on power of processor and advanced operation system，and be enhanced by the cloud computing and big data.As smart phone，the smart IoT devices need to build an active ecosystem that engage developers to innovate.The several key technologies development status and future trends were explored，analyzed，and displayed.…”
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Heterogeneous bioinformatic data encryption on portable devices by Hao Chen, Xiayun Hong, Yao Cheng, Xiaotong Wang, Liyan Chen, Xuan Cheng, Juncong Lin

“…For mobile devices, encryption is even more important yet more challenging, as these devices are usually used in environments that may not be well protected and have rather limited computing resources. With heterogeneous multi-core processors becoming popular on mobile devices to satisfy different needs of applications, designing heterogeneous algorithms to harness all the available resources are tricky but have the potential to deliver high performance. …”
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Application of Grouped MCDM Technique for Ranking and Selection of Laptops in the Current Scenario of COVID-19 by Avinash Gaur

“…This paper exhibits a group of two MCDM techniques; Best Worst Method (BWM) and Analytical Hierarchy Process (AHP), which have been used to evaluate relative weights of considered conflicting criteria such as brand, price, storage capacity, RAM, processor, weight, touch screen, Bluetooth, and screen size, and these weights are used in the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking and selecting the best product of laptops.…”
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FalconSign: An Efficient and High-Throughput Hardware Architecture for Falcon Signature Generation by Yi Ouyang, Yihong Zhu, Wenping Zhu, Bohan Yang, Zirui Zhang, Hanning Wang, Qichao Tao, Min Zhu, Shaojun Wei, Leibo Liu

“…Our approach involves a new scheduling flow and architecture for Fast-Fourier Sampling to enhance computing unit reuse and reduce processing time. Additionally, we introduce several optimized modules, including configurable randomness generation units, parallel floating-point processing units, and an optimized SamplerZ module, to improve execution efficiency. …”
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