Contemporary fiscal architectures rely overwhelmingly on human labor income and payroll withholdings to finance social insurance and public infrastructure. The rapid diffusion of autonomous software agents, generative foundation models, and embodied robotic systems decouples output growth from human work hours, eroding...
Toqeer Ali Syed, Ali Akarma, Adeel Ahmad et al.· 0 citations
This paper proposes a blockchain-backed agentic security framework designed to safeguard the complete software development lifecycle (SDLC) while also securing the agentic AI components responsible for monitoring it. The framework coordinates a set of specialised security agents, covering source integrity, dependency a...
A non-local multi-head spatiotemporal attention based long short-term memory model (NL-MHA-LSTM) is introduced which employs an attention mechanism to assign context weights to relevant neighbor vehicles and extends beyond pairwise effects to model long-range dependencies.
S. Rashid, M. A. Khan, Usman Akram et al.· PLoS ONE· 0 citations
Visual impairment affects over 2.2 billion people worldwide, yet conventional white canes cannot detect elevated hazards or provide semantic environmental context. Existing AI-assisted navigation systems typically rely on expensive hardware or cloud connectivity, limiting accessibility in resource-constrained settings....
Ali Akarma, Adeel Ahmad, Toqeer Ali Syed· 0 citations
A rapid review applies operationalized criteria to separate Agentic AI from conventional machine learning for SDG 11 and SDG 13, revealing a field growing sharply since 2023, clustered in a few urban and climate domains, with almost no validated cross-domain deployment.
Toqeer Ali Syed, Ali Akarma, M. Naqash et al.· Sustainability· 10 citations
This paper presents MetaBlind, an architecture that distributes nonvisual access across eight specialized agents, spanning perception, navigation, social and object interaction, communication, safety and trust, memory, and personalization, and that places an Accessibility Orchestrator between those agents and the user.
Toqeer Ali Syed, Ali Akarma, Adeel Ahmad et al.· 0 citations
One of the biggest risks faced by Software Defined Networks (SDN) is the Distributed Denial of Service (DDoS) attack in which a compromised controller can make an entire network unusable. To address these challenges, we suggest an entropy-guided machine learning framework, called XAI-SDN, for real-time DDoS detection i...
Adeel Ahmad, Ali Akarma, Ahmad Ali et al.· 0 citations
Results demonstrate that combining simulation-enabled digital twins with governance-aware agentic orchestration measurably improves response efficiency, recommendation quality, and action accountability within the bounds of a synthetic evaluation environment.
Toqeer Ali Syed, Ali Akarma, Ali Alatify et al.· PLoS ONE· 7 citations
As vehicular networks move toward 5G/6G edge intelligence, federated learning (FL) is widely promoted as a privacy-preserving way for vehicles and infrastructure to train shared models without exposing raw sensor data. Yet the updates clients transmit still leak enough information to identify who sent them, which threa...
Ali Akarma, Toqeer Ali Syed, Muhammad Khan et al.· 0 citations
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