Tootfinder

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
Sara Makenali, Babak Rokh, Ali Azarpeyvand
https://arxiv.org/abs/2509.04244 https://

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
Deep Neural Networks (DNNs) have achieved significant advances in a wide range of applications. However, their deployment on resource-constrained devices remains a challenge due to the large number of layers and parameters, which result in considerable computational and memory demands. To address this issue, pruning and quantization are two widely used compression techniques, commonly applied individually in most studies to reduce model size and enhance processing speed. Nevertheless, combining…

Deep Learning-Based Approach for Improving Relational Aggregated Search
Sara Saad Soliman, Ahmed Younes, Islam Elkabani, Ashraf Elsayed
https://arxiv.org/abs/2510.00966 https://…

Deep Learning-Based Approach for Improving Relational Aggregated Search
Due to an information explosion on the internet, there is a need for the development of aggregated search systems that can boost the retrieval and management of content in various formats. To further improve the clustering of Arabic text data in aggregated search environments, this research investigates the application of advanced natural language processing techniques, namely stacked autoencoders and AraBERT embeddings. By transcending the limitations of traditional search engines, which are i…

On the Deployment of Multiple Radio Stripes for Large-Scale Near-Field RF Wireless Power Transfer
Amirhossein Azarbahram, Onel L. A. L\'opez, Petar Popovski, Matti Latva-aho
https://arxiv.org/abs/2508.21640

On the Deployment of Multiple Radio Stripes for Large-Scale Near-Field RF Wireless Power Transfer
This paper investigates the deployment of radio stripe systems for indoor radio-frequency (RF) wireless power transfer (WPT) in line-of-sight near-field scenarios. The focus is on environments where energy demand is concentrated in specific areas, referred to as 'hotspots', spatial zones with higher user density or consistent energy requirements. We formulate a joint clustering and radio stripe deployment problem that aims to maximize the minimum received power across all hotspots. To address t…

NeuCODEX: Edge-Cloud Co-Inference with Spike-Driven Compression and Dynamic Early-Exit
Maurf Hassan, Steven Davy, Muhammad Zawish, Owais Bin Zuber, Nouman Ashraf
https://arxiv.org/abs/2509.19156

Between Myth and History: von Neumann on Consciousness in Quantum Mechanics
Federico Laudisa
https://arxiv.org/abs/2508.15871 https://arxiv.org/pdf/2508.15…

Between Myth and History: von Neumann on Consciousness in Quantum Mechanics
The von Neumann attitude on such a deep interpretational question as the role of a human observer in order for the quantum description of measurement to be consistent has been long misrepresented. The large majority of the subsequent literature ascribed to von Neumann a radical view, according to which not only the collapse was in itself a truly physical process, but also the only way to accomodate it within a quantum description of a typical measurement was the introduction of human consciousn…