Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

“…These models, however, require substantial computational resources for both training and deployment. …”
Get full text

Correction: Agent based modelling of blood borne viruses: a scoping review by Seun Ale, Elizabeth Hunter, John D. Kelleher

Get full text

General method to synthesize aggregation‐induced emission molecules via carbon‐sulfur bond activation by Bowei Ma, Xinyu Liang, Gu Xu, Guanghao Zhang, Lutang Zhao, Liangzhuo Ma, Wenbin Xie, Xiang Li, Qinqin Shi, Kaikai Wen, Hui Huang

Get full text

In Situ Growth of (−201) Fiber‐Textured β‐Ga2O3 Semiconductor Tape for Flexible Thin‐Film Transistor by Xiao Tang, Yue Zhao, Kuang‐Hui Li, Chen Liu, Hendrik Faber, Wedyan Babatain, Che‐Hao Liao, Saravanan Yuvaraja, Vishal Khandelwal, Dhanu Chettri, Haicheng Cao, Yi Lu, Chuanju Wang, Thomas D. Anthopoulos, Xixiang Zhang, Xiaohang Li

Get full text

SPATA: Strong Pseudonym-Based AuthenTicAtion in Intelligent Transport System by Qazi Ejaz Ali, Naveed Ahmad, Abdul Haseeb Malik, Gauhar Ali, Muhammad Asif, Muhammad Khalid, Yue Cao

“…Empirical results show that SPATA is a lightweight framework with low computational overhead, average latency, overhead ratio, and stable delivery ratio in both sparse and dense network scenarios.…”
Get full text

Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

Get full text

Multiobjective Memetic Estimation of Distribution Algorithm Based on an Incremental Tournament Local Searcher by Kaifeng Yang, Li Mu, Dongdong Yang, Feng Zou, Lei Wang, Qiaoyong Jiang

“…Besides, since ε-dominance is a strategy that can make multiobjective algorithm gain well distributed solutions and has low computational complexity, ε-dominance and the incremental tournament local searcher are combined here. …”
Get full text

A Robust Approach for Blur and Sharp Regions’ Detection Using Multisequential Deviated Patterns by Awais Khan, Ali Javed, Aun Irtaza, Muhammad Tariq Mahmood

“…Moreover, the proposed method is also computationally efficient over state-of-the-art methods.…”
Get full text

A Polynomial-Time Algorithm for Detection of Uncovered Transitions in a Petri Net-Based Concurrent System by Marcin Wojnakowski, Maxim Maliński, Remigiusz Wiśniewski, Andrzej Obuchowicz, Zhiwu Li, Dawid Konarczak

“…The proposed method is based on the computation of transition invariant coverage to detect possible errors in the modelled system. …”
Get full text

Machine learning assisted plasmonic metascreen for enhanced broadband absorption in ultra-thin silicon films by Waqas W. Ahmed, Haicheng Cao, Changqing Xu, Mohamed Farhat, Muhammad Amin, Xiaohang Li, Xiangliang Zhang, Ying Wu

Get full text

Aggregate data‐driven dynamic modeling of active distribution networks with DERs for voltage stability studies by Sunil Subedi, Jesus D. Vasquez‐Plaza, Fabio Andrade, Hossein Moradi Rekabdarkolaee, Robert Fourney, Reinaldo Tonkoski, Timothy M. Hansen

“…Despite advances in computational capabilities, electromagnetic transient models are limited in scalability because of their reliance on exact data about the distribution system and each of its components. …”
Get full text

Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains by Yousef Alhwaiti, Muhammad Hameed Siddiqi, Madallah Alruwaili, Ibrahim Alrashdi, Saad Alanazi, Muhammad Hasan Jamal

“…In this work, we designed a model using convolutional neural network in order to detect COVID-19 from X-ray, Computed Tomography (CT), and Magnetic Resonance Imaging (MRI) images. …”
Get full text

Multi task opinion enhanced hybrid BERT model for mental health analysis by Md. Mithun Hossain, Md. Shakil Hossain, M. F. Mridha, Mejdl Safran, Sultan Alfarhood

Get full text

Meaningful Multimodal Emotion Recognition Based on Capsule Graph Transformer Architecture by Hajar Filali, Chafik Boulealam, Khalid El Fazazy, Adnane Mohamed Mahraz, Hamid Tairi, Jamal Riffi

“…The development of emotionally intelligent computers depends on emotion recognition based on richer multimodal inputs, such as text, speech, and visual cues, as multiple modalities complement one another. …”
Get full text

Inkjet-printed electronics for rapid and low-cost prototyping of digital microfluidic devices using an off-the-shelf printer by Babak Kamali Doust Azad, Amirhossein Roozbahani, Seyed Mohammad Tabatabaei, Amirali Valinejad, Alireza Fazelian, Kimia Shahmoradi, Fatemeh Khatami, Seyed Mohammad Kazem Aghamir, Mohammadreza Kolahdouz

Get full text

Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network by Guimei Yin, Jie Yuan, Yanjun Chen, Guangxing Guo, Dongli Shi, Lin Wang, Zilong Zhao, Yanli Zhao, Manjie Zhang, Yuan Dong, Bin Wang, Shuping Tan

Get full text

FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

“…With the development of complex CNN models, a significant drawback is their high computational burden and memory requirements. The performance of a typical CNN model can be enhanced by the improvement of hardware accelerators. …”
Get full text

dStream: An Online-Based Dynamic Operator-Level Query Mapping Scheme on Discrete CPU-GPU Architectures by Gyeonghwan Jung, Yeonwoo Jeong, Kyuli Park, Dongjae Lee, Hongsu Byun, Suyeon Lee, Sungyong Park

Get full text

Smart Predictor for Spontaneous Combustion in Cotton Storages Using Wireless Sensor Network and Machine Learning by Umar Farooq Shafi, Waheed Anwar, Imran Sarwar Bajwa, Hina Sattar, Iqra Yaqoob, Aqsa Mahmood, Shabana Ramzan

Get full text

Prediction of circRNA-miRNA Associations Based on Network Embedding by Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan

“…In this paper, we propose a new computational method, NECMA, based on network embedding to predict potential associations between circRNAs and miRNAs. …”
Get full text